POST GRADUATE STUDENT

Size: px
Start display at page:

Download "POST GRADUATE STUDENT"

Transcription

1 POST GRADUATE STUDENT DOCTOR OF PHILOSOPHY IN INFORMATION TECHNOLOGY (PIT) NO. NAME MAIN SUPERVISOR / CO-SUPERVISOR RESEARCH AREA RESEARCH TITLE PHOTO 1 MOHD ISA BIN AWANG Prof. Dr. Mustafa Mat Deris Data Mining Soft Set Based Approach for Categorical Data Clustering 2 SHAMSUL KAMAL BIN AHMAD KHALID Prof. Dr. Mustafa Mat Deris / Dr. Kamaruddin Malik Mohamad Reverse Engineering : From XML to UML For Generating of Requirement Specification Document Changes 3 HANNANI BINTI AMAN Prof. Dr. Rosziati Ibrahim Engineering Reverse Engineering : From XML to UML For Generating of Requirement Specification Document Changes 4 NORLIDA BINTI HASSAN Assoc. Prof. Dr. Rozaida Ghazali A Hybrid of Adaptive Neuro-Fuzzy Inference (ANFIS) with Swarm Intelligence (SI) for Classification 5 MOHD NORASRI BIN ISMAIL Prof. Dr. Rosziati Ibrahim / Assoc. Prof. Ts. Dr. Mohd Farhan Md. Fudzee Multimedia Computing A Multi-Objectives Video Adaptation Decision Taking Engine for Optimizing Device Energy Consumption 6 MUNIRAH BINTI MOHD YUSOF Assoc. Prof. Dr. Noorhaniza Wahid Artificial Intelligence A Hybrid Technique of Case Based Reasoning and Bat Algorithm for Medical Data Classification 7 NOOR AIDA BINTI HUSAINI Assoc. Prof. Dr. Rozaida Ghazali / Dr. Nureize Arbaiy An Efficient Cuckoo Search Algorithm Using MCMC Random Walk 8 NORHAMREEZA BINTI ABDUL HAMID Assoc. Prof. Dr. Nazri Mohd Nawi / Ts. Dr. Azizul Azhar Ramli An Improvement of Back Propagation Algorithm using Halley Optimisation Mehod For Classification Problems 9 ROZLINI BINTI MOHAMED Assoc. Prof. Dr. Noorhaniza Wahid Data Mining A Hybrid BAT Algorithm with k-nearest Neighbor for Classification of High Dimensional Problems 10 OMOTUNDE HABEEB OLADAPO Prof. Dr. Rosziati Ibrahim Moth : A Hybrid Threat Modeling Approach to Testing 11 MOHD ZAKI BIN MOHD SALIKON Dr. Nureize Arbaiy / Prof. Dr. Mustafa Mat Deris Regression Analysis & Fuzzy Random Regression Improved Confidence Interval of Fuzzy Random Regression Model Based on Spread of TFN and Data Size 12 HAZALILA BINTI KAMALUDIN RFID Data Management Enhancing RFID Data Quality and Reliability 13 WAREESA SHARIF Dr. Noor Azah Samsudin / Prof. Dr. Mustafa Mat Deris Data mining Extended Feature Selection and Classification Techniques to Improve the Document Classification by using Relative Discriminative Criterion, Normalized Relative Discriminative Criterion & Multinomial Naïve Bayes

2 14 DEDEN WITARSYAH Md. Fudzee / Dr. Mohamad Aizi Salamat An Analysis of An Extended E-Government Technology Services Adoption Model using Strutural Equation Adoption & Data Model and Maximum Atribute Relative Mining 15 RD ROHMAT SAEDUDIN Assoc. Prof. Dr. Shahreen Kasim /Assoc. Prof. Dr. Hairunizam / Assoc. Prof. Ts. Dr. Mohd Farhan Md. Fudzee A Relative Tolerance Relation of Rough Set for Data Prediction Students Performance Classification in Incomplete and Data Mining s 16 DEDE ROHIDIN Dr. Noor Azah Samsudin Text Mining New Metod for Text Classification Based on Hybrid Fuzzy Soft Set & Association Rules 17 RABEI RAAD ALI AL JAWRY Dr. Kamaruddin Malik Mohamad Digital Forensic Improving reassembly of fragmented JPEG images in scan area 18 WADDAH WAHEEB HASSAN SAEED Assoc. Prof. Dr. Rozaida Ghazali computer science_time series neural network Ridge Polynomial with Error Feedback for time Series Forecasting 19 MARIAM BINTI ABDUL HAMID Prof. Dr. Mustafa Mat Deris soft computing A New Approach Based on The Optimazation Technique and Weightage Forecasting In Fuzzy Time Series 20 MUHAMMAD FAHEEM MUSHTAQ Assoc. Prof. Dr. Sapi'ee Jamel Key Schedule Algorithm based on Coordinate Geometry of a Hybride Cube 21 ASHIKIN BINTI ALI Dr. Norhalina Senan, Classification An Improved Algorithm for Violence Video Classification using Convolutional Neural Networks 22 KASHIF HUSSAIN TALPUR Assoc. Prof. Dr. Mohd Najib Mohd Salleh Metaheuristics An Integration Framework to Map Dataset with Suitable Metaheuristic For Solving Classification Problems 23 SYARIZUL AMRI BIN MOHD DZULKIFLI Assoc. Prof. Dr. Mohd Najib Mohd Salleh machine learning Modified Weighted Support Vector Machines (WSVM)Boosting Algorithm for Miscalssified Data 24 MAZNIHA BINTI BERAHIM Dr. Noor Azah Samsudin / Assoc. Prof. Dr. Aida Mustapha Image Classification Group-Based Image Analysis to Improve Labelling Accuracy in Image Classification Problem 25 SITI SALWANI BINTI YAACOB RFID An Improved Kalman Filter Algorithm to Enhance Complex Event Processing in RFID 26 SEAH CHOON SEN Assoc. Prof. Dr. Shahreen Kasim / Md. Fudzee Data Mining & Bioinformatic An Improved Directed Random Walk Algorithm to Identify Cancerous Genes in Cancer Classification by Gene Expression Data sets 27 MUHAMMAD AAMIR Assoc. Prof. Dr. Nazri Mohd Nawi / Big Data Analysis Drug Addiciton Analysis in Malaysia using Arqurmentative Reasoning

3 28 SAIFUL BAHARI BIN MOHD SABTU Dr. Kamaruddin Malik Mohamad Critical National Infrastructure (CNII) Protection Profile Development Using A Graph Model 29 MUHAMAD HANIF BIN JOFRI Md. Fudzee / Assoc. Prof. Dr. Shahreen Kasim multimedia Exploration of Quality of Experience (QoE) for (profiler- content Power Efficiency on Mobile Video Streaming Via adaption) Hybrid Profiling 30 IBRAHIM UMAR KONTAGORA Dr. Isredza Rahmi Abd. Hamid data mining An Enhanced Concept Based Approach For User Centered Health Retrieval To Improve Cancer Diseases Awareness. 31 ANDI MASLAN Dr. Kamaruddin Malik Mohamad An Improved DDOS Detection Using Hybrid N- Gram Heuristic Techniques 32 MURAHARTAWATY Prof. Dr. Mustafa Mat Deris big data Understanding Customer Needs with Sentiment Analysis and Kano Models for product Improvement 33 JANUARDI NASIR Ts. Dr. Azizul Azhar Ramli / Assoc. Prof. Dr. Shahreen Kasim Fuzzy, Evolutionary A New Hybrid Evolutionary Algorithm with Multi Criteria Research Making For Plant Forecasting using Fuzzy Inference 34 DANLAMI MUKTAR Assoc. Prof. Dr. Sapi'ee Jamel / Dr. Sofia Najwa Ramli access control Feature Extraction for Iris Recognition 35 FAZLI WAHID Assoc. Prof. Dr. Rozaida Ghazali Swarm Intelligence An improved hybrid firefly algorithm based on genetic algorithm and pattern search for solving optimization problems 36 ASIM SHAHZAD s Spam Detection in Search Engine Optimization Technique using s 37 ARIFULLAH Prof. Dr. Mustafa Mat Deris deep neural network The Implementation of page ranking using neural inspire genetic algorithm 38 SUNDAS FAISAL Prof. Dr. Mustafa Mat Deris Text Mining Framework To Develop Ontology For supporting Text-Mining And Knowledge Discovery In The Biological Domain 39 CHIENG HOCK HUNG Assoc. Prof. Dr. Noorhaniza Wahid / Dr. Ong Pauline Deep learning, image Vision-Based Guitar Chord Recognition Through processing, computer Guitarist Fingering Features Detection Using vision, multimedia. Convolution 40 ADEEL TARIQ Dr. Norhalina Senan conventional neural network Recurrent Fucntional Link for the Time Series Prediction 41 UMAR FAROOQ KHATTAK Assoc. Prof. Dr. Aida Mustapa / Dr. Mohd Zainuri Saringat software engineering Regression Testing Selection & Prioritization Based on program Change with Inheritance

4 42 RAHMAT HIDAYAT Ts. Dr. Azizul Azhar Ramli / Assoc. Prof. Ts. Dr. Mohd Farhan Md. Fudzee information technology web usage mining The Algorithm of Web usage Mining Classification in Improving Session Similarity Based Framework for Measuring Web user Concern 43 MUHAMMAD ZULQARNAIN Assoc. Prof. Dr. Rozaida Ghazali / Dr. Yana Mazwin Mohmad Hassim neural network An Improved Deep Learning for Pattern Recognition 44 RASYIDAH Dr. Riswan Efendi Data Mining Mining Changes in Customer Purchasing Behavior Adoption Model Based on Structural Equation Model and Maximum Attribute Relative 45 EBRAHIM QASEM SALEH AL- WAJIH Assoc. Prof. Dr. Rozaida Ghazali soft computing Bilingual Handwriting Recognition Using Soft Computing Techniques 46 HAMIJAH BINTI MOHD RAHMAN Dr. Nureize Arbaiy / Dr. Chuah Chai Wen / Dr. Riswan Efendi Fuzzy Time Series Fuzzy Random Auto Regression for Financial Prediction 47 SITI FAIRUZ NURR BINTI SADIKAN Ts. Dr. Azizul Azhar Ramli An Integrated Continuous Online Learner Verification Framework Using Fuzzy Neural Network 48 MIRZA JAMAL AHMED Dr. Nurul Azma Abdullah Cloud forensic Design of Forensic Analysis Framework for Cloud Pertaining to Enterprise 49 ABDUSSALAM A.ALASHHAB Dr. Kamaruddin Malik Mohamad Verification Tool for OpenFlow Interface in Defined Networking Architecture 50 YULINDON Dr. Noor Azah Samsudin Optimizing algorithm in antenna design and its application A New Optimization Approach to Design E-Shape Antenna for 5G Wireless Communication. 51 MUSTAFA HAMID HASSAN Assoc. Prof. Dr. Aida Mustapha Multi-Agent A Collaborative Multi-Agent Risk Assessment Model For Global Situation awareness of Dynamic and Distributed Problem 52 KARRAR HAMEED ABDULKAREEM AL-ARIDHEE Dr. Nureize Arbaiy Multi Objective Analysis Evaluation and Benchmarking for Image Dehazing based on Multi Objective Analysis 53 MOHAMMED AHMED JUBAIR Assoc. Prof. Dr. Aida Mustapha Multi Agent Formulating Multi-agent Case-based Reasoning for Automated Assessments of Requirements Specification Quality 54 GOHAR RAHMAN Dr. Chuah Chai Wen Framework For Big Data In Cloud Computing 55 NUHU YUSUF Dr. Mohd Amin Mohd Yunus / Dr. Norfaradilla Wahid Retrieval Enhanced Query Expansion Through Latent Semantic Analysis to Improve Relevant Judgement

5 56 SHIHAB HAMAD KHALEEFAH Assoc. Prof. Dr. Aida Mustapa Multi Agent A Collaborative Multi-agent Feature Extraction Model for Authentication of Scanned paper Images 57 NORHANIM BINTI SELAMAT Prof. Dr. Rosziati Ibrahim Engineering Consistency Check For Data Flow Diagrams (DFDs) In Structured Approach 58 MUHAMMED E.ABDALKHALEC THARWAT Md. Fudzee / Assoc. Prof. Dr. Shahreen Kasim E-Learning Service Level Agreement Based On Recommendation Approach To Enhance The Trust-Aware In An E-Learning. 59 MUHAMMAD YASEEN Assoc. Prof. Dr. Aida Mustapha Requirement Requirements Prioritization 60 MUHAMMAD REHAN Dr. Chuah Chai Wen A Hybrid Scheme to Enhance in Ad Hoc Wireless Network using DNA Stagenography 61 ABDUL HALIM BIN OMAR / Assoc. Prof. Dr. Nazri Mohd Nawi Clustering A Study On Conceptual Relationship And Dimensionality Reduction For Text Document Clustering 62 SASA ANI ARNOMO Dr. Noraini Ibrahim Engineering Improvement of test case generation for performance multitasking mobile using benchmark log approach 63 MUHAMMAD GHULAM GHOUSE Assoc. Prof. Dr. Sapi'ee Jamel Hybrid Cyrptography to Enhance in Adhac Wireless Networking 64 AZIZAN BIN ISMAIL Assoc. Prof. Dr. Aida Mustapha Text Mining Design of Evaluation Procedures of Letter-based Technique Steganography in Text Domain 65 MOHD NOOR HAFIZ BIN ZAKARIA Mohd Fudzee /Ts. Dr. Azizul Azhar Ramli E-Learning Student Stream Recommendation Framework Based On Educational Data 66 TARA OTHMAN QADIR Assoc. Prof. Dr. Sapi'ee Jamel Indoor Navigation Support for the Blind Person 67 HASANAIN HAYDER RAZZAQ Assoc. Prof. Dr. Rozaida Ghazali/Dr. Loay E. George An improved deep learning neural network of embryo health classification 68 HAITHAM QUTAIBA GHADHBAN Dr. Muhaini Othman Improve prediction in Vehicular Ad-hoc Network (VANET) 69 MAQSOOD AHMAD Assoc. Prof. Dr. Noorhaniza Wahid Data Mining, Text Mining Prognosis Of Depression Using Multi Text Features And Ensemble Learning

6 An Ontology-Based For Arabic Restricted Domain 70 MUSTEFA TALAL SHEKER Dr. Noryusliza Abdullah Web Technology Question Answering 71 ALI SAMAD YOUSIF JALIL AWREED Dr. Isredza Rahmi Abd. Hamid Scheduling approach in load balancing to enhance QOS in SDN 73 NURUL ASHIKIN BINTI SAMAT Assoc. Prof. Dr. Mohd Najb Mohd Salleh / Dr. Mohd Amin Mohd Yunus An Improved Convolutional for Sentiment Analysis on Social Media Data 74 MOHAMED JAFAR SADIK Dr. Noor Azah Samsudin machine learning Stress and Emotion Recognition in Natural Speech 75 AMIRUDIN SYARIF Dr. Mohamad Aizi Salamat ADELEKE ABDULLAHI OYEKUNLE Dr. Noor Azah Samsudin Artificial Intelligence/Mac hine Learning An Improved Group Based Classification Technique For Multiview Labelling of Holy Quran Verses 77 ABDULAZIZ AHMED THAWABA Ts. Dr.Azizul Azhar Ramli software engineering PM-ISDP To Support Management Decision To Decrease Failure Factors In Development Processes Of Critical s 78 RUSMIN SYAFARI Dr. Mohamad Aizi Salamat - - update on

Name of the lecturer Doç. Dr. Selma Ayşe ÖZEL

Name of the lecturer Doç. Dr. Selma Ayşe ÖZEL Y.L. CENG-541 Information Retrieval Systems MASTER Doç. Dr. Selma Ayşe ÖZEL Information retrieval strategies: vector space model, probabilistic retrieval, language models, inference networks, extended

More information

ACIT'2015. Conference Program. Under the Patronage of Her Excellency Mrs. Majd Shweikeh Minister of Telecommunications and Information Technology

ACIT'2015. Conference Program. Under the Patronage of Her Excellency Mrs. Majd Shweikeh Minister of Telecommunications and Information Technology ACIT'2015 Conference Program Under the Patronage of Her Excellency Mrs. Majd Shweikeh Minister of Telecommunications and Information Technology Day 1 (Tuesday 15 December 2015) Registration Opening session

More information

DIRECTORY OF EXPERTISE IN UiTM (PERAK)

DIRECTORY OF EXPERTISE IN UiTM (PERAK) DIRECTORY OF EXPERTISE IN UiTM (PERAK) NAME OF LECTURER AREA OF SPECIALIZATION FACULTY OF CIVIL ENGINEERING Prof. Ir. Dr. Hjh Zainab Mohamed Civil Engineering Geotechnical Engineering Rock Engineering

More information

DOTNET Projects. DotNet Projects IEEE I. DOTNET based CLOUD COMPUTING. DOTNET based ARTIFICIAL INTELLIGENCE

DOTNET Projects. DotNet Projects IEEE I. DOTNET based CLOUD COMPUTING. DOTNET based ARTIFICIAL INTELLIGENCE DOTNET Projects I. DOTNET based CLOUD COMPUTING 1. Enabling Cloud Storage Auditing with VerifiableOutsourcing of Key Updates (IEEE 2. Conjunctive Keyword Search with Designated Tester and Timing Enabled

More information

Department of Computer Science & Engineering University of Kalyani. Syllabus for Ph.D. Coursework

Department of Computer Science & Engineering University of Kalyani. Syllabus for Ph.D. Coursework Department of Computer Science & Engineering University of Kalyani Syllabus for Ph.D. Coursework Paper 1: A) Literature Review: (Marks - 25) B) Research Methodology: (Marks - 25) Paper 2: Computer Applications:

More information

T chnology chnology Ma turity turity for fo Adaptiv Adaptiv Massively Massiv ely Pa P ra r llel llel Computing F rst rst Wo W rksho p 2009

T chnology chnology Ma turity turity for fo Adaptiv Adaptiv Massively Massiv ely Pa P ra r llel llel Computing F rst rst Wo W rksho p 2009 Technology Maturity for Adaptive Massively Parallel Computing First Workshop 2009 March h2 3, 2009 Portland, OR, USA AMP Computing Workshop 2009 Massive Data Computing Pradeep K. Dubey Senior Principal

More information

Written by Webmaster2 Wednesday, 16 February :02 - Last Updated Wednesday, 03 August :40

Written by Webmaster2 Wednesday, 16 February :02 - Last Updated Wednesday, 03 August :40 (L.O) are assigned to promote good rapport between the library and faculties. They undertake responsibilities such as library skills training;engaged in collection assessments and make recommendations

More information

DISTANCE EVALUATED SIMULATED KALMAN FILTER FOR COMBINATORIAL OPTIMIZATION PROBLEMS

DISTANCE EVALUATED SIMULATED KALMAN FILTER FOR COMBINATORIAL OPTIMIZATION PROBLEMS DISTANCE EVALUATED SIMULATED KALMAN FILTER FOR COMBINATORIAL OPTIMIZATION PROBLEMS Zulkifli Md Yusof 1, Zuwairie Ibrahim 1, Ismail Ibrahim 1, Kamil Zakwan Mohd Azmi 1, Nor Azlina Ab Aziz 2, Nor Hidayati

More information

Machine Learning in WAN Research

Machine Learning in WAN Research Machine Learning in WAN Research Mariam Kiran mkiran@es.net Energy Sciences Network (ESnet) Lawrence Berkeley National Lab Oct 2017 Presented at Internet2 TechEx 2017 Outline ML in general ML in network

More information

Elysium Technologies Private Limited::IEEE Final year Project

Elysium Technologies Private Limited::IEEE Final year Project Elysium Technologies Private Limited::IEEE Final year Project - o n t e n t s Data mining Transactions Rule Representation, Interchange, and Reasoning in Distributed, Heterogeneous Environments Defeasible

More information

DOTNET PROJECTS. DOTNET Projects. I. IEEE based IOT IEEE BASED CLOUD COMPUTING

DOTNET PROJECTS. DOTNET Projects. I. IEEE based IOT IEEE BASED CLOUD COMPUTING DOTNET PROJECTS I. IEEE based IOT 1. A Fuzzy Model-based Integration Framework for Vision-based Intelligent Surveillance Systems 2. Learning communities in social networks and their relationship with the

More information

JAVA Projects. 1. Enforcing Multitenancy for Cloud Computing Environments (IEEE 2012).

JAVA Projects. 1. Enforcing Multitenancy for Cloud Computing Environments (IEEE 2012). JAVA Projects I. IEEE based on CLOUD COMPUTING 1. Enforcing Multitenancy for Cloud Computing Environments 2. Practical Detection of Spammers and Content Promoters in Online Video Sharing Systems 3. An

More information

The 2018 (14th) International Conference on Data Science (ICDATA)

The 2018 (14th) International Conference on Data Science (ICDATA) CALL FOR PAPERS LATE BREAKING PAPERS, POSITION PAPERS, ABSTRACTS, POSTERS Paper Submission Deadline: May 20, 2018 The 2018 (14th) International Conference on Data Science (ICDATA) (former International

More information

PROBLEM FORMULATION AND RESEARCH METHODOLOGY

PROBLEM FORMULATION AND RESEARCH METHODOLOGY PROBLEM FORMULATION AND RESEARCH METHODOLOGY ON THE SOFT COMPUTING BASED APPROACHES FOR OBJECT DETECTION AND TRACKING IN VIDEOS CHAPTER 3 PROBLEM FORMULATION AND RESEARCH METHODOLOGY The foregoing chapter

More information

Name: Prof. Dr. Iftikhar Hussain. Designation: Vice Chancellor. Department: Industrial Engineering. Specialization: Flexible Manufacturing Systems

Name: Prof. Dr. Iftikhar Hussain. Designation: Vice Chancellor. Department: Industrial Engineering. Specialization: Flexible Manufacturing Systems Name: Prof. Dr. Iftikhar Hussain Designation: Vice Chancellor Department: Industrial Engineering Specialization: Flexible Manufacturing Systems Email: iftikhar@uetpeshawar.edu.pk Area of Interest: Design,

More information

Research Interests and/or Thesis Topics of Supervisors for CSE 400 (Project and Thesis) Semester: August, 2011

Research Interests and/or Thesis Topics of Supervisors for CSE 400 (Project and Thesis) Semester: August, 2011 Research Interests and/or Thesis Topics of Supervisors for CSE 400 (Project and Thesis) Semester: August, 2011 1. Supervisor s Name Dr. M Kaykobad, Professor Visit Personal Webpage: http://www.buet.ac.bd/cse/faculty/facdetail.php?id=kaykobad

More information

ECS289: Scalable Machine Learning

ECS289: Scalable Machine Learning ECS289: Scalable Machine Learning Cho-Jui Hsieh UC Davis Sept 22, 2016 Course Information Website: http://www.stat.ucdavis.edu/~chohsieh/teaching/ ECS289G_Fall2016/main.html My office: Mathematical Sciences

More information

Applying Supervised Learning

Applying Supervised Learning Applying Supervised Learning When to Consider Supervised Learning A supervised learning algorithm takes a known set of input data (the training set) and known responses to the data (output), and trains

More information

INTRODUCTION TO BIG DATA, DATA MINING, AND MACHINE LEARNING

INTRODUCTION TO BIG DATA, DATA MINING, AND MACHINE LEARNING CS 7265 BIG DATA ANALYTICS INTRODUCTION TO BIG DATA, DATA MINING, AND MACHINE LEARNING * Some contents are adapted from Dr. Hung Huang and Dr. Chengkai Li at UT Arlington Mingon Kang, PhD Computer Science,

More information

Density Based Clustering using Modified PSO based Neighbor Selection

Density Based Clustering using Modified PSO based Neighbor Selection Density Based Clustering using Modified PSO based Neighbor Selection K. Nafees Ahmed Research Scholar, Dept of Computer Science Jamal Mohamed College (Autonomous), Tiruchirappalli, India nafeesjmc@gmail.com

More information

Machine Learning in WAN Research

Machine Learning in WAN Research Machine Learning in WAN Research Mariam Kiran mkiran@es.net Energy Sciences Network (ESnet) Lawrence Berkeley National Lab Oct 2017 Presented at Internet2 TechEx 2017 Outline ML in general ML in network

More information

ADVANCED ANALYTICS USING SAS ENTERPRISE MINER RENS FEENSTRA

ADVANCED ANALYTICS USING SAS ENTERPRISE MINER RENS FEENSTRA INSIGHTS@SAS: ADVANCED ANALYTICS USING SAS ENTERPRISE MINER RENS FEENSTRA AGENDA 09.00 09.15 Intro 09.15 10.30 Analytics using SAS Enterprise Guide Ellen Lokollo 10.45 12.00 Advanced Analytics using SAS

More information

KEY BASED APPROACH FOR INTEGRATION OF HETEROGENEOUS DATA SOURCES

KEY BASED APPROACH FOR INTEGRATION OF HETEROGENEOUS DATA SOURCES KEY BASED APPROACH FOR INTEGRATION OF HETEROGENEOUS DATA SOURCES 1 KAMSURIAH AHMAD, 1 TENGKU SITI FATIMAH TENGKU WOOK, 2 REDUAN SAMAD 1 Strategic Management Research Group Faculty of Information Science

More information

Computation of Fuzzy Analytic Hierarchy Process (FAHP) using MATLAB Programming in Sustainable Supply Chain

Computation of Fuzzy Analytic Hierarchy Process (FAHP) using MATLAB Programming in Sustainable Supply Chain Computation of Fuzzy Analytic Hierarchy Process (FAHP) using MATLAB Programming in Sustainable Supply Chain 1a Ahamad Zaki Mohamed Noor, 1b Muhammad Hafidz Fazli Md Fauadi, 1c Nur Zul Hafiq Zulkifli, 1d

More information

Privacy Preserving Ranked Multi-Keyword Search for Multiple Data Owners in Cloud Computing

Privacy Preserving Ranked Multi-Keyword Search for Multiple Data Owners in Cloud Computing S.NO PROJECT CODE IEEE JAVA PROJECT TITLES DOMAIN 1 NEO1501 A Hybrid Cloud Approach for Secure Authorized Deduplication 2 NEO1502 A Profit Maximization Scheme with Guaranteed Quality of Service in Cloud

More information

Void main Technologies

Void main Technologies Sno Title Domain 1. A Cross Tenant Access Control (CTAC) Model for Cloud Computing: Formal Specification and Verification 2. A Lightweight Secure Data Sharing Scheme for Mobile Cloud Computing 3. A Modified

More information

Intro to Artificial Intelligence

Intro to Artificial Intelligence Intro to Artificial Intelligence Ahmed Sallam { Lecture 5: Machine Learning ://. } ://.. 2 Review Probabilistic inference Enumeration Approximate inference 3 Today What is machine learning? Supervised

More information

Table Of Contents: xix Foreword to Second Edition

Table Of Contents: xix Foreword to Second Edition Data Mining : Concepts and Techniques Table Of Contents: Foreword xix Foreword to Second Edition xxi Preface xxiii Acknowledgments xxxi About the Authors xxxv Chapter 1 Introduction 1 (38) 1.1 Why Data

More information

The University of Jordan. Accreditation & Quality Assurance Center. Curriculum for Doctorate Degree

The University of Jordan. Accreditation & Quality Assurance Center. Curriculum for Doctorate Degree Accreditation & Quality Assurance Center Curriculum for Doctorate Degree 1. Faculty King Abdullah II School for Information Technology 2. Department Computer Science الدكتوراة في علم الحاسوب (Arabic).3

More information

Ph.D. in Computer Science (

Ph.D. in Computer Science ( Computer Science 1 COMPUTER SCIENCE http://www.cs.miami.edu Dept. Code: CSC Introduction The Department of Computer Science offers undergraduate and graduate education in Computer Science, and performs

More information

DATA MINING. 3. ITDDM03 A Probabilistic Model of Social Working Memory for Information Retrieval in Social Interactions

DATA MINING. 3. ITDDM03 A Probabilistic Model of Social Working Memory for Information Retrieval in Social Interactions DATA MINING 1. ITDDM01 Reducing Uncertainty of Probabilistic Top-k Ranking via Pairwise Crowd sourcing 2. ITDDM02 An Approach for Building Efficient and Accurate Social Recommender Systems using Individual

More information

IEEE Project Titles

IEEE Project Titles www.chennaisunday.com PH:9566137117 IEEE Project Titles -2018 S.No Project Title Year CLOUD COMPUTING 1 A Collaborative Key Management Protocol in Ciphertext Policy Attribute-Based Encryption for Cloud

More information

Image Processing (IP)

Image Processing (IP) Image Processing Pattern Recognition Computer Vision Xiaojun Qi Utah State University Image Processing (IP) Manipulate and analyze digital images (pictorial information) by computer. Applications: The

More information

Contents. Foreword to Second Edition. Acknowledgments About the Authors

Contents. Foreword to Second Edition. Acknowledgments About the Authors Contents Foreword xix Foreword to Second Edition xxi Preface xxiii Acknowledgments About the Authors xxxi xxxv Chapter 1 Introduction 1 1.1 Why Data Mining? 1 1.1.1 Moving toward the Information Age 1

More information

IEEE 2013 JAVA PROJECTS Contact No: KNOWLEDGE AND DATA ENGINEERING

IEEE 2013 JAVA PROJECTS  Contact No: KNOWLEDGE AND DATA ENGINEERING IEEE 2013 JAVA PROJECTS www.chennaisunday.com Contact No: 9566137117 KNOWLEDGE AND DATA ENGINEERING (DATA MINING) 1. A Fast Clustering-Based Feature Subset Selection Algorithm for High Dimensional Data

More information

Decision models for the Digital Economy

Decision models for the Digital Economy Decision Camp 2017 Birbeck, University of London Decision models for the Digital Economy Vijay Bandekar InteliOps Inc. Agenda Problem Statement Proposed Solution Case studies and results Key takeaways

More information

TABLE OF CONTENTS CHAPTER NO. TITLE PAGE NO. ABSTRACT 5 LIST OF TABLES LIST OF FIGURES LIST OF SYMBOLS AND ABBREVIATIONS xxi

TABLE OF CONTENTS CHAPTER NO. TITLE PAGE NO. ABSTRACT 5 LIST OF TABLES LIST OF FIGURES LIST OF SYMBOLS AND ABBREVIATIONS xxi ix TABLE OF CONTENTS CHAPTER NO. TITLE PAGE NO. ABSTRACT 5 LIST OF TABLES xv LIST OF FIGURES xviii LIST OF SYMBOLS AND ABBREVIATIONS xxi 1 INTRODUCTION 1 1.1 INTRODUCTION 1 1.2 WEB CACHING 2 1.2.1 Classification

More information

A STUDY OF SOME DATA MINING CLASSIFICATION TECHNIQUES

A STUDY OF SOME DATA MINING CLASSIFICATION TECHNIQUES A STUDY OF SOME DATA MINING CLASSIFICATION TECHNIQUES Narsaiah Putta Assistant professor Department of CSE, VASAVI College of Engineering, Hyderabad, Telangana, India Abstract Abstract An Classification

More information

Outline. CS5984 Mobile Computing. Dr. Ayman Abdel-Hamid, CS5984. Wireless Sensor Networks 1/2. Wireless Sensor Networks 2/2

Outline. CS5984 Mobile Computing. Dr. Ayman Abdel-Hamid, CS5984. Wireless Sensor Networks 1/2. Wireless Sensor Networks 2/2 CS5984 Mobile Computing Outline : a Survey Dr. Ayman Abdel-Hamid Computer Science Department Virginia Tech An Introduction to 1 2 1/2 Advances in micro-electro-mechanical systems technology, wireless communications,

More information

Department of Computer Science and Engineering B.E/B.Tech/M.E/M.Tech : B.E. Regulation: 2013 PG Specialisation : _

Department of Computer Science and Engineering B.E/B.Tech/M.E/M.Tech : B.E. Regulation: 2013 PG Specialisation : _ COURSE DELIVERY PLAN - THEORY Page 1 of 6 Department of Computer Science and Engineering B.E/B.Tech/M.E/M.Tech : B.E. Regulation: 2013 PG Specialisation : _ LP: CS6007 Rev. No: 01 Date: 27/06/2017 Sub.

More information

DEPARTMENT OF COMPUTER SCIENCE

DEPARTMENT OF COMPUTER SCIENCE Department of Computer Science 1 DEPARTMENT OF COMPUTER SCIENCE Office in Computer Science Building, Room 279 (970) 491-5792 cs.colostate.edu (http://www.cs.colostate.edu) Professor L. Darrell Whitley,

More information

International Journal of Advance Engineering and Research Development. A Survey on Data Mining Methods and its Applications

International Journal of Advance Engineering and Research Development. A Survey on Data Mining Methods and its Applications Scientific Journal of Impact Factor (SJIF): 4.72 International Journal of Advance Engineering and Research Development Volume 5, Issue 01, January -2018 e-issn (O): 2348-4470 p-issn (P): 2348-6406 A Survey

More information

Neural Networks. Single-layer neural network. CSE 446: Machine Learning Emily Fox University of Washington March 10, /10/2017

Neural Networks. Single-layer neural network. CSE 446: Machine Learning Emily Fox University of Washington March 10, /10/2017 3/0/207 Neural Networks Emily Fox University of Washington March 0, 207 Slides adapted from Ali Farhadi (via Carlos Guestrin and Luke Zettlemoyer) Single-layer neural network 3/0/207 Perceptron as a neural

More information

D B M G Data Base and Data Mining Group of Politecnico di Torino

D B M G Data Base and Data Mining Group of Politecnico di Torino DataBase and Data Mining Group of Data mining fundamentals Data Base and Data Mining Group of Data analysis Most companies own huge databases containing operational data textual documents experiment results

More information

DATABASE TECHNOLOGIES AND APPLICATIONS (DBTA) Annual Report Prepared by: [AP Dr Lilly Suriani Affendey] 12 April 2017

DATABASE TECHNOLOGIES AND APPLICATIONS (DBTA) Annual Report Prepared by: [AP Dr Lilly Suriani Affendey] 12 April 2017 Annual Report 2016 Prepared by: [AP Dr Lilly Suriani Affendey] 12 April 2017 EXECUTIVE SUMMARY Introduction The Database Technologies and Applications Research Group at the Faculty of Computer Science

More information

MASTER PROJECT SEMINAR (MASTER OF ENGINEERING MECHANICAL) SEMESTER II, SESSION 2013/2014

MASTER PROJECT SEMINAR (MASTER OF ENGINEERING MECHANICAL) SEMESTER II, SESSION 2013/2014 Session 1 8.00 am 10.00 am 1) Anas Basri Bin Musthafa (P1) 900809065049 Study On Droplet Size Of Diesel Fuel IN a Combustion System 2) Mohd Naqiuddin Bin Mohd Salleh(P1) 890925065269 Study On Performance

More information

SUPERHEROES IN INFORMATION PROFESSIONAL 1015

SUPERHEROES IN INFORMATION PROFESSIONAL 1015 SUPERHEROES IN INFORMATION PROFESSIONAL 1015 EDITORIAL BOARD EDITOR'S ACKNOWLEDGEMENT CONDESCENDENT Assoc. Prof. Dr. Mohd Sazili Bin Shahibi Assalamualaikum ADVISOR Encik Azmi Bin Abd Rahman First and

More information

Data Mining and Data Warehousing Introduction to Data Mining

Data Mining and Data Warehousing Introduction to Data Mining Data Mining and Data Warehousing Introduction to Data Mining Quiz Easy Q1. Which of the following is a data warehouse? a. Can be updated by end users. b. Contains numerous naming conventions and formats.

More information

Unstructured Data. CS102 Winter 2019

Unstructured Data. CS102 Winter 2019 Winter 2019 Big Data Tools and Techniques Basic Data Manipulation and Analysis Performing well-defined computations or asking well-defined questions ( queries ) Data Mining Looking for patterns in data

More information

Syllabus for Ph.D Entrance Test, RGPV. Common for CSE/IT/CA

Syllabus for Ph.D Entrance Test, RGPV. Common for CSE/IT/CA Syllabus for Ph.D Entrance Test, RGPV. Common for CSE/IT/CA Algorithms: Algorithms and complexity; Combinatorics and graph theory; Geometric Algorithms, Parallel and Distributed Algorithms, Randomized

More information

A THREE LAYERED MODEL TO PERFORM CHARACTER RECOGNITION FOR NOISY IMAGES

A THREE LAYERED MODEL TO PERFORM CHARACTER RECOGNITION FOR NOISY IMAGES INTERNATIONAL JOURNAL OF RESEARCH IN COMPUTER APPLICATIONSAND ROBOTICS ISSN 2320-7345 A THREE LAYERED MODEL TO PERFORM CHARACTER RECOGNITION FOR NOISY IMAGES 1 Neha, 2 Anil Saroliya, 3 Varun Sharma 1,

More information

B.Eng. (Computer Science) Course Contents Applicable to Students Matriculating in 2016 onwards

B.Eng. (Computer Science) Course Contents Applicable to Students Matriculating in 2016 onwards FIRST YEAR B.Eng. (Computer Science) Course Contents Applicable to Students Matriculating in 2016 onwards CZ1003 INTRODUCTION TO COMPUTATIONAL THINKING Computing and Algorithms; Introduction to Python;

More information

Preface to the Second Edition. Preface to the First Edition. 1 Introduction 1

Preface to the Second Edition. Preface to the First Edition. 1 Introduction 1 Preface to the Second Edition Preface to the First Edition vii xi 1 Introduction 1 2 Overview of Supervised Learning 9 2.1 Introduction... 9 2.2 Variable Types and Terminology... 9 2.3 Two Simple Approaches

More information

Trade-offs in Explanatory

Trade-offs in Explanatory 1 Trade-offs in Explanatory 21 st of February 2012 Model Learning Data Analysis Project Madalina Fiterau DAP Committee Artur Dubrawski Jeff Schneider Geoff Gordon 2 Outline Motivation: need for interpretable

More information

Contents PART I: CLOUD, BIG DATA, AND COGNITIVE COMPUTING 1

Contents PART I: CLOUD, BIG DATA, AND COGNITIVE COMPUTING 1 Preface xiii PART I: CLOUD, BIG DATA, AND COGNITIVE COMPUTING 1 1 Princi ples of Cloud Computing Systems 3 1.1 Elastic Cloud Systems for Scalable Computing 3 1.1.1 Enabling Technologies for Cloud Computing

More information

Master Information Technology Specialization Information Technology Management

Master Information Technology Specialization Information Technology Management Master Information Technology Specialization Information Technology Management Faculty of Computing Universiti Teknologi Malaysia 81310 Skudai Johor Presented by : Dr Halina Mohamed Dahlan Program Coordinator

More information

CPD ACTIVITIES CALENDAR FOR THE YEAR 2018

CPD ACTIVITIES CALENDAR FOR THE YEAR 2018 CPD ACTIVITIES CALENDAR FOR THE YEAR 208 PEB Name: PEB Reg. No. Name of PEB Coordinator: ACADEMY PEB-S-UET-0059 Prof. Rizwan U. Farooqui S. No. CPD Title. Hands on Training: Ansys Fluent 2. Performance

More information

Signals, Information and Data

Signals, Information and Data The Fu Foundation School of Engineering and Applied Science Department of Electrical Engineering COLUMBIA UNIVERSITY IN THE CITY OF NEW YORK Signals, Information and Data Prof. Xiaodong Wang Signals, Information

More information

A Deep Learning primer

A Deep Learning primer A Deep Learning primer Riccardo Zanella r.zanella@cineca.it SuperComputing Applications and Innovation Department 1/21 Table of Contents Deep Learning: a review Representation Learning methods DL Applications

More information

EDUCATIONAL QUALIFICATIONS HONORS AND AWARDS ASSOCIATION MEMBERSHIPS LIST OF PUBLICATIONS

EDUCATIONAL QUALIFICATIONS HONORS AND AWARDS ASSOCIATION MEMBERSHIPS LIST OF PUBLICATIONS NADIRAH BINTI MOHD NASIR FACULTY OF INDUSTRIAL SCIENCES & TECHNOLOGY UNIVERSITI MALAYSIA PAHANG LEBUHRAYA TUN RAZAK, 26300 GAMBANG PAHANG, MALAYSIA. OFFICE : +609-5492781 EMAIL : nadirah@ump.edu.my POSITION

More information

BIG DATA SCIENTIST Certification. Big Data Scientist

BIG DATA SCIENTIST Certification. Big Data Scientist BIG DATA SCIENTIST Certification Big Data Scientist Big Data Science Professional (BDSCP) certifications are formal accreditations that prove proficiency in specific areas of Big Data. To obtain a certification,

More information

ISSN: (Online) Volume 3, Issue 9, September 2015 International Journal of Advance Research in Computer Science and Management Studies

ISSN: (Online) Volume 3, Issue 9, September 2015 International Journal of Advance Research in Computer Science and Management Studies ISSN: 2321-7782 (Online) Volume 3, Issue 9, September 2015 International Journal of Advance Research in Computer Science and Management Studies Research Article / Survey Paper / Case Study Available online

More information

IMOTION. Heiko Schuldt, University of Basel, Switzerland

IMOTION. Heiko Schuldt, University of Basel, Switzerland IMOTION Heiko Schuldt, University of Basel, Switzerland heiko.schuldt@unibas.ch IMOTION at a Glance Project Title Intelligent Multimodal Augmented Video Motion Retrieval System (IMOTION) Project Start

More information

CS6220: DATA MINING TECHNIQUES

CS6220: DATA MINING TECHNIQUES CS6220: DATA MINING TECHNIQUES Image Data: Classification via Neural Networks Instructor: Yizhou Sun yzsun@ccs.neu.edu November 19, 2015 Methods to Learn Classification Clustering Frequent Pattern Mining

More information

Introduction to Machine Learning

Introduction to Machine Learning Introduction to Machine Learning Isabelle Guyon Notes written by: Johann Leithon. Introduction The process of Machine Learning consist of having a big training data base, which is the input to some learning

More information

USC Viterbi School of Engineering

USC Viterbi School of Engineering Introduction to Computational Thinking and Data Science USC Viterbi School of Engineering http://www.datascience4all.org Term: Fall 2016 Time: Tues- Thur 10am- 11:50am Location: Allan Hancock Foundation

More information

AUTOMATIC VISUAL CONCEPT DETECTION IN VIDEOS

AUTOMATIC VISUAL CONCEPT DETECTION IN VIDEOS AUTOMATIC VISUAL CONCEPT DETECTION IN VIDEOS Nilam B. Lonkar 1, Dinesh B. Hanchate 2 Student of Computer Engineering, Pune University VPKBIET, Baramati, India Computer Engineering, Pune University VPKBIET,

More information

UNIT SPECIFICATION FOR EXCHANGE AND STUDY ABROAD

UNIT SPECIFICATION FOR EXCHANGE AND STUDY ABROAD Unit Code: 6G4Z70 Unit Name: Programming (Student Mobility) Level: 4 Credits: 5 ECTS: 7.5 This unit introduces computer programming in a high level programming language, such as Java and includes principles

More information

FACULTY OF ENGINEERING

FACULTY OF ENGINEERING FACULTY OF ENGINEERING The faculty of engineering is managed by a dean and two deputy deans together with a team of three head of departments, two assistant registrars and one science officer. The faculty

More information

Predictive Analytics: Demystifying Current and Emerging Methodologies. Tom Kolde, FCAS, MAAA Linda Brobeck, FCAS, MAAA

Predictive Analytics: Demystifying Current and Emerging Methodologies. Tom Kolde, FCAS, MAAA Linda Brobeck, FCAS, MAAA Predictive Analytics: Demystifying Current and Emerging Methodologies Tom Kolde, FCAS, MAAA Linda Brobeck, FCAS, MAAA May 18, 2017 About the Presenters Tom Kolde, FCAS, MAAA Consulting Actuary Chicago,

More information

A MULTI-SWARM PARTICLE SWARM OPTIMIZATION WITH LOCAL SEARCH ON MULTI-ROBOT SEARCH SYSTEM

A MULTI-SWARM PARTICLE SWARM OPTIMIZATION WITH LOCAL SEARCH ON MULTI-ROBOT SEARCH SYSTEM A MULTI-SWARM PARTICLE SWARM OPTIMIZATION WITH LOCAL SEARCH ON MULTI-ROBOT SEARCH SYSTEM BAHAREH NAKISA, MOHAMMAD NAIM RASTGOO, MOHAMMAD FAIDZUL NASRUDIN, MOHD ZAKREE AHMAD NAZRI Department of Computer

More information

ROUTING PROJECT LIST

ROUTING PROJECT LIST ROUTING PROJECT LIST Branches {Computer Science (CS), Information Science(IS), Software Engineering(SE),Electronics & Communication(EC), Telecommunication (TE),Information Technology(IT),Digital Communication(DCE),Digital

More information

CS490W: Web Information Search & Management. CS-490W Web Information Search and Management. Luo Si. Department of Computer Science Purdue University

CS490W: Web Information Search & Management. CS-490W Web Information Search and Management. Luo Si. Department of Computer Science Purdue University CS490W: Web Information Search & Management CS-490W Web Information Search and Management Luo Si Department of Computer Science Purdue University Overview Web: Growth of the Web The world produces between

More information

Optimization of Makespan and Mean Flow Time for Job Shop Scheduling Problem FT06 Using ACO

Optimization of Makespan and Mean Flow Time for Job Shop Scheduling Problem FT06 Using ACO Optimization of Makespan and Mean Flow Time for Job Shop Scheduling Problem FT06 Using ACO Nasir Mehmood1, Muhammad Umer2, Dr. Riaz Ahmad3, Dr. Amer Farhan Rafique4 F. Author, Nasir Mehmood is with National

More information

Last update: July 17, 2018

Last update: July 17, 2018 COMPUTER SCIENCE Last update: July 17, 2018 CMP SCI 4010 Advanced Web Development with Java: 3 semester hours Prerequisites: CMP SCI 2261 and CMP SCI 3010; or graduate standing. This course covers more

More information

Preprocessing of Stream Data using Attribute Selection based on Survival of the Fittest

Preprocessing of Stream Data using Attribute Selection based on Survival of the Fittest Preprocessing of Stream Data using Attribute Selection based on Survival of the Fittest Bhakti V. Gavali 1, Prof. Vivekanand Reddy 2 1 Department of Computer Science and Engineering, Visvesvaraya Technological

More information

Analytical model A structure and process for analyzing a dataset. For example, a decision tree is a model for the classification of a dataset.

Analytical model A structure and process for analyzing a dataset. For example, a decision tree is a model for the classification of a dataset. Glossary of data mining terms: Accuracy Accuracy is an important factor in assessing the success of data mining. When applied to data, accuracy refers to the rate of correct values in the data. When applied

More information

( It will be applied from Fall)

( It will be applied from Fall) İZMİR INSTITUTE OF TECHNOLOGY GRADUATE SCHOOL OF ENGINEERING AND SCIENCES DEPARTMENT OF COMPUTER ENGINEERING MASTER OF SCIENCE PROGRAM IN COMPUTER ENGINEERING Core Courses ECTS *CENG 590 Seminar (0-2)

More information

CS423: Data Mining. Introduction. Jakramate Bootkrajang. Department of Computer Science Chiang Mai University

CS423: Data Mining. Introduction. Jakramate Bootkrajang. Department of Computer Science Chiang Mai University CS423: Data Mining Introduction Jakramate Bootkrajang Department of Computer Science Chiang Mai University Jakramate Bootkrajang CS423: Data Mining 1 / 29 Quote of the day Never memorize something that

More information

CORPORATE STRUCTURE OF GROUP SIRIM BERHAD MAY 2015

CORPORATE STRUCTURE OF GROUP SIRIM BERHAD MAY 2015 CORPORATE STRUCTURE OF GROUP SIRIM BERHAD 2015 05 MAY 2015 APPROVED FOR CIRCULATION COMPANY SECRETARY PRESIDENT AND CHIEF EXECUTIVE YBHG. DATO DR. HJ. ZAINAL ABIDIN MOHD YUSOF AUDIT AND ACCOUNTS COMMITTEE

More information

Grid Computing Systems: A Survey and Taxonomy

Grid Computing Systems: A Survey and Taxonomy Grid Computing Systems: A Survey and Taxonomy Material for this lecture from: A Survey and Taxonomy of Resource Management Systems for Grid Computing Systems, K. Krauter, R. Buyya, M. Maheswaran, CS Technical

More information

Instructor: Dr. Hanna A. Kirolous RFID Automated Library Management System

Instructor: Dr. Hanna A. Kirolous   RFID Automated Library Management System Instructor: Dr. Hanna A. Kirolous e-mail: kirolous@aucegypt.edu RFID Automated Library Management System Radio Frequency Identification (RFID) is a new generation of Auto Identification and Data collection

More information

Comparative Study of Meta-heuristics Optimization Algorithm using Benchmark Function

Comparative Study of Meta-heuristics Optimization Algorithm using Benchmark Function International Journal of Electrical and Computer Engineering (IJECE) Vol. 7, No. 3, June 2017, pp. 1643~1650 ISSN: 2088-8708, DOI: 10.11591/ijece.v7i3.pp1643-1650 1643 Comparative Study of Meta-heuristics

More information

Chapter 5: Summary and Conclusion CHAPTER 5 SUMMARY AND CONCLUSION. Chapter 1: Introduction

Chapter 5: Summary and Conclusion CHAPTER 5 SUMMARY AND CONCLUSION. Chapter 1: Introduction CHAPTER 5 SUMMARY AND CONCLUSION Chapter 1: Introduction Data mining is used to extract the hidden, potential, useful and valuable information from very large amount of data. Data mining tools can handle

More information

AI Application and Development in ehealth Field. MIN Dong

AI Application and Development in ehealth Field. MIN Dong AI Application and Development in ehealth Field MIN Dong What s e-health? Defined by WHO ehealth is the cost-effective and secure use of information and communications technologies(icts) in support of

More information

COMP 465 Special Topics: Data Mining

COMP 465 Special Topics: Data Mining COMP 465 Special Topics: Data Mining Introduction & Course Overview 1 Course Page & Class Schedule http://cs.rhodes.edu/welshc/comp465_s15/ What s there? Course info Course schedule Lecture media (slides,

More information

Lesson Plan for semester Started w.e.f (8 th Sem)

Lesson Plan for semester Started w.e.f (8 th Sem) Lesson Plan for semester Started w.e.f. 01.01.19 (8 th Sem) Subject: Cloud Computing Name of Institute: Seth Jai Parkash Mukand Lal Institute of Engineering & Technology, Radaur Name of teacher with designation:

More information

CS-490WIR Web Information Retrieval and Management. Luo Si

CS-490WIR Web Information Retrieval and Management. Luo Si CS490W: Web Information Retrieval & Management CS-490WIR Web Information Retrieval and Management Luo Si Department of Computer Science Purdue University Overview Web: Growth of the Web The world produces

More information

Multi-label classification using rule-based classifier systems

Multi-label classification using rule-based classifier systems Multi-label classification using rule-based classifier systems Shabnam Nazmi (PhD candidate) Department of electrical and computer engineering North Carolina A&T state university Advisor: Dr. A. Homaifar

More information

Prof Georg Struth Dr Anthony Simons

Prof Georg Struth Dr Anthony Simons Prof Georg Struth Dr Anthony Simons Theory to advance the state-of-the-art in theoretical computer science Practice to apply theoretical results in innovative and practical solutions for industry Together

More information

9. Lecture Neural Networks

9. Lecture Neural Networks Soft Control (AT 3, RMA) 9. Lecture Neural Networks Application in Automation Engineering Outline of the lecture 1. Introduction to Soft Control: definition and limitations, basics of "smart" systems 2.

More information

UNIMAS Semester/Session : 1 Sesi 2017/2018

UNIMAS Semester/Session : 1 Sesi 2017/2018 Programme: WK23 Program Kejuruteraan Elektrikal dan Elektronik Year Of Study: 1 KNR1413 DC Circuit 8:00-8:50 9:00-9:50 10:00-10:50 11:00-11:50 12:00-12:50 1:00-1:50 2:00-2:50 3:00-3:50 4:00-4:50 5:00-5:50

More information

Data Mining Technology Based on Bayesian Network Structure Applied in Learning

Data Mining Technology Based on Bayesian Network Structure Applied in Learning , pp.67-71 http://dx.doi.org/10.14257/astl.2016.137.12 Data Mining Technology Based on Bayesian Network Structure Applied in Learning Chunhua Wang, Dong Han College of Information Engineering, Huanghuai

More information

Ahli Jawatankuasa Etika Penyelidikan Manusia USM (Dikemaskini 8 Ogos 2018) USM Human Research Ethics Committee Members (Updated 8 th August 2018)

Ahli Jawatankuasa Etika Penyelidikan Manusia USM (Dikemaskini 8 Ogos 2018) USM Human Research Ethics Committee Members (Updated 8 th August 2018) Ahli Jawatankuasa Etika Penyelidikan Manusia USM (Dikemaskini 8 Ogos 2018) USM Human Research Ethics Committee Members (Updated 8 th August 2018) Main Committee Members (Panel A) Health Campus 1. Prof.

More information

Business Intelligence Roadmap HDT923 Three Days

Business Intelligence Roadmap HDT923 Three Days Three Days Prerequisites Students should have experience with any relational database management system as well as experience with data warehouses and star schemas. It would be helpful if students are

More information

The Construction of Web Navigation Model in Online Automated Universities Students Matching System (OAUSMS)

The Construction of Web Navigation Model in Online Automated Universities Students Matching System (OAUSMS) MANAGEMENT SCIENCE AND ENGINEERING Vol. 4, No., 200, pp. 45-50 ISSN: 93-034 www.cscanada.net The Construction of Web Navigation Model in Online Automated Universities Students Matching System (OAUSMS)

More information

Data warehouse and Data Mining

Data warehouse and Data Mining Data warehouse and Data Mining Lecture No. 14 Data Mining and its techniques Naeem A. Mahoto Email: naeemmahoto@gmail.com Department of Software Engineering Mehran Univeristy of Engineering and Technology

More information

An Ensemble Data Mining Approach for Intrusion Detection in a Computer Network

An Ensemble Data Mining Approach for Intrusion Detection in a Computer Network International Journal of Science and Engineering Investigations vol. 6, issue 62, March 2017 ISSN: 2251-8843 An Ensemble Data Mining Approach for Intrusion Detection in a Computer Network Abisola Ayomide

More information

NOVEL HYBRID GENETIC ALGORITHM WITH HMM BASED IRIS RECOGNITION

NOVEL HYBRID GENETIC ALGORITHM WITH HMM BASED IRIS RECOGNITION NOVEL HYBRID GENETIC ALGORITHM WITH HMM BASED IRIS RECOGNITION * Prof. Dr. Ban Ahmed Mitras ** Ammar Saad Abdul-Jabbar * Dept. of Operation Research & Intelligent Techniques ** Dept. of Mathematics. College

More information

Challenges for Data Driven Systems

Challenges for Data Driven Systems Challenges for Data Driven Systems Eiko Yoneki University of Cambridge Computer Laboratory Data Centric Systems and Networking Emergence of Big Data Shift of Communication Paradigm From end-to-end to data

More information