CIS 601 Graduate Seminar in Computer Science Sunnie S. Chung

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1 CIS 601 Graduate Seminar in Computer Science Sunnie S. Chung Research on Topics in Recent Computer Science Research and related papers in the subject that you choose and give presentations in class and write a project proposal with survey on the related work on the subject of your choice. Everyone is required to give two person group presentation twice. Suggested Research Paper List: (Will be added more in next few weeks) You can choose your topics and papers in the suggested research topics and paper list here or research on the topics and the papers on the conference sites and related resource sites that listed here to choose. However, topics and paper list that you want to research on are not restricted to these suggested lists below. Selective Significant Research Topics in Computer Science Research IoT (Internet of Things) IoT becomes a really broad area. Check the IEEE conference sites for Pervasive Computing under IoT. We want to find out the CS related IoT papers rather than the EE related IoT -- smart city, network, communication is more of circuit based EE related topics Cyber Security: Identifying the Scan and Attack Infrastructures Behind Amplification DDoS Attacks (SIGMOD 2016) Accessorize to a Crime: Real and Stealthy Attacks on State-of-the-Art Face Recognition (Mahmood Sharif Carnegie Mellon University at SIGMOD 2016) AmpPot: Monitoring and Defending Against Amplication DDoS Attacks Cyber Paper: When CSI meets public WiFi- Inferring PW from Wifi Signal (ACM CCS 2016)

2 Paper: Cloak of Visibility (2016 IEEE Symposium on Security and privacy by Google) Paper: Network Security Detection with Data Analytics Web Application Security Papers from Stanford Web Application Class 2009: Web Application Security Reports 2016 : A Privacy Protection Technique for Publishing Data Mining Models and Research Data fu.pdf?ip= &id= &acc=active%20service&key=1d8e1ca5b8d7d 8DD%2E3DC751E0CA962F99%2E4D4702B0C3E38B35%2E4D4702B0C3E38B35&CFID= &CFTOKEN= & acm = _163bd14f58b49ab867c87c6de3 9445e9#URLTOKEN# Privacy-Preserving Data Mining through Knowledge Model Sharing IMR based Anonymization for Privacy Preservation in Data Mining EN= Hiding a Needle in a Haystack: Privacy Preserving Apriori Algorithm in MapReduce Framework EN= Fraud Detection Using Machine Learning Algorithm Artificial Intelligence and Machine Learning o Deep Face Recognition by Omkar M Parkhi o o o

3 o AlphaGo - Artificial Intelligence: Mastering Game Selective Current Research Topics in Big Data Analytics/Data Mining Sentiment Analysis/Text Mining of Social Network Data: Twitter, Yelp, Facebook: 1. Research on Text Mining (Sentiment Analysis) User-Level Sentiment Analysis Incorporating Social Networks in Twitter (Yahoo) Topic sentiment analysis in twitter: a graph-based hashtag sentiment classification approach Lexicon-Based Methods for Sentiment Analysis by Maite Taboada 2. Fraud Detection or Intrusion Detection using Data Mining 3. Recommendation System Related paper from Amazon Recommendation System Social Network Analysis 5. IBM Research Project: Building Data Analytic Artificial Intelligence: IBM Watson DeepQA Project Intrusion Detection:

4 7. Any GIS Data Mining 8. Any Papers on One of the Following Topics: Stream data mining using Sparks Sequential pattern mining, sequence classification and clustering Time-series analysis, regression and trend analysis Graph pattern mining, graph classification and clustering Social network analysis Information network analysis Spatial, spatiotemporal and moving object data mining Multimedia data mining Web mining Mining computer systems and sensor networks Mining software programs Statistical data mining methods 9. Big Data Processing and Cloud You can choose one from the paper lists in the good conference sites : Good Conference Sites to Search: KDD Top Research Data Mining Conferences: KDD, IEEE ICDE, IEEE ICDM, CIKM, and SIAM SDM. SIGMOD 2017 Paper List VLDB 2017 Paper List

5 Selective Topics on Big Data Processing Systems and Parallel Data Processing Systems 1. Parallel Processing System by Google: MapReduce: Simplified Data Processing on Large Clusters Jeffrey Dean and Sanjay Ghemawat by Google, Inc 2. Information Retrieval System: Semantic Content Based Big Data Processing Approaches by Google: Map Reduce and Hadoop: Google s Big Table: 3. Big Data Processing Systems at FaceBook: Data Warehousing and Analytics Infrastructure at Facebook, in SIGMOD 2010 by Ashish Thusoo (Facebook), et al, Petabyte Scale Databases and Storage Systems Deployed at Facebook, (SIGMOD 2013) FaceBook s HBase: FaceBook s Hive: 4. Big Data Processing System with Parallel Data Warehouse (PDW): Query Optimization in Microsoft SQL Server Parallel Data Warehouse (SIGMOD 2014) 5. Enterprise Big Data Processing System with Parallel Data Warehouse (PDW) on Cloud: JetScope: Reliable and Interactive Analytics at Cloud Scale VLDB2015 See Sigmod 2017, VLDB 2017 for More on this topic 6. Columnar Databases Efficient Transaction Processing in SAP HANA Database--The End of a Column Store Myth SAP, (SIGMOD 2012) A Storage Advisor for Hybrid Store Databases by SAP (SIGMOD 2014) Analytics in Motion: High Performance Event-Processing AND Real-Time Analytics in the Same Database 7. Big Data Processing Systems at Twitter: Fast Data in the Era of Big Data: Twitter s Real-Time Related Query Suggestion Architecture

6 Gilad Mishne, Jeff Dalton, Zhenghua Li, Aneesh Sharma, Jimmy Lin Twitter, Inc. The Unified Logging Infrastructure for Data Analytics at Twitter George Lee, Jimmy Lin, Chuang Liu, Andrew Lorek, and Dmitriy Ryaboy Twitter, Inc. 8.Azure Data Lake Store: A Hyperscale Distributed File Service for Big Data Analytics (Sigmod 2017) 9. LittleTable: A Time-Series Database and Its Uses (Sigmod 2017) 10. ROBUS: Fair Cache Allocation for Data-parallel Workloads (Sigmod 2017) You can choose one from the 2017 paper lists: SIGMOD 2017 Paper List VLDB 2017 Paper List Big Data Processing in Spark: 1. Advanced Data Mining in Spark 2. Streaming Twitter Data Analysis Using Spark Paper 3: Spark SQL: Relational Data Processing in Spark Paper4: Big Data Analysis: AP Spark Perspective 1. Advanced Data Mining in Spark 2. Streaming Twitter Data Analysis Using Spark 9. Big Data Processing Systems at LinkedIn: The Big Data Ecosystem at LinkedIn Roshan Sumbaly, Jay Kreps, and Sam Shah (LinkedIn), SIGMOD 2015 Avatara: OLAP for Webscale Analytics Products Lili Wu Roshan Sumbaly Chris Riccomini Gordon Koo Hyung Jin Kim Jay, Kreps Sam Shah (LinkedIn), SIGMOD Parallel Computing Systems for Big Data Processing:

7 Hadoop Distributed File System (HDFS) Based NoSQL Systems: Pig Latin, HBase, Hive, Mongo DB, Cassandra o Pig Latin: A Not-So-Foreign Language for Data Processing, Christopher Olston, et al. (Yahoo! Research) in the proceedings of SIGMOD 2008 Hadoop Distributed File System (HDFS) Based NewSQL Systems 11. Big Data Service Systems: L. Deng, J. Gao, and C. Vuppalapati, Building a Big Data Analytics Service Framework for Mobile Advertising and Marketing (IEEE 2015) Information Retrieval: Locality-aware Partitioning in Parallel Database Systems (SIGMOD 2015) 15. Schema-Agnostic Indexing with Azure DocumentDB Dharma Shukla (Microsoft) VLDB2015 Other Topics to Search 1. Sparks Stream Processing 2. Data Partition Techniques 3. Performance Survey : SQL vs NoSQL 4. Information Retrieval: Google Search Engine 5. Cloud Computing : Microsoft AZURE, Amazon Cloud, Google Cloud

8 Good Database/Data Analytics Conference Sites to Search: ACM SIGMOD : SIGMOD 2017 Paper List VLDB (IEEE): VLDB 2017 Paper List ICDE (IEEE) Any Topics in Advanced Database Course in Computer Science at Carnegie Mellon: