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1 Elysium Technologies Private Limited::IEEE Final year Project - o n t e n t s Data mining Transactions

2 Rule Representation, Interchange, and Reasoning in Distributed, Heterogeneous Environments Defeasible Contextual Reasoning with Arguments in Ambient Intelligence A Rule-Based Trust Negotiation System Efficient Lazy Evaluation of Rule-Based Programs A Configurable Rete-OO Engine for Reasoning with Different Types of Imperfect Information Integrated Rule-Based Learning and Inference A Deductive Spreadsheet System for End Users A Novel Combination of Answer Set Programming with Description Logics for the Semantic Web A Guide to the Basic Logic Dialect for Rule Interchange on the Web Dictionary-Based Compression for Long Time-Series Similarity From t-closeness-like Privacy to Postrandomization via Information Theory Unsupervised Semantic Similarity Computation between Terms Using Web Documents A Survey on Transfer Learning

3 An Efficient Concept-Based Mining Model for Enhancing Text Clustering Adaptive Subspace Symbolization for Content-Based Video Detection Combating the Small Sample Class Imbalance Problem Using Feature Selection Enhanced Visual Analysis for Cluster Tendency Assessment and Data Partitioning Enriching One Taxonomy Using Another Heuristic Approaches for the Quartet Method of Hierarchical Clustering Nearest Surrounder Queries Non-Negative Matrix Factorization for Semisupervised Heterogeneous Data Coclustering The Context and the SitBAC Models for Privacy Preservation An Experimental Comparison of Model Comprehension and Synthesis Guest Editors' Introduction: Special Section on Mining Large Uncertain and Probabilistic Databases Mining Frequent Subgraph Patterns from Uncertain Graph Data Clustering Uncertain Data Using Voronoi Diagrams and R-Tree Index Scalable Probabilistic Similarity Ranking in Uncertain Databases

4 Effectively Indexing the Uncertain Space An Information-Theoretic Foundation for the Measurement of Discrimination Information Credibility: How Agents Can Handle Unfair Third-Party Testimonies in Computational Trust Models Flexible Frameworks for Actionable Knowledge Discovery Managing Multidimensional Historical Aggregate Data in Unstructured PP Networks Personalizing Web Directories with the Aid of Web Usage Data Guest Editor's Introduction to the Special Section on the IEEE International Conference on Data Engineering Projective Distribution of XQuery with Updates Towards an Effective XML Keyword Search Continuous Subgraph Pattern Search over Certain and Uncertain Graph Streams Adaptive Join Operators for Result Rate Optimization on Streaming Inputs Maintaining Recursive Views of Regions and Connectivity in Networks Histograms and Wavelets on Probabilistic Data Query Processing Using Distance Oracles for Spatial Networks

5 BinRank: Scaling Dynamic Authority-Based Search Using Materialized Subgraphs Multimodal Fusion for Video Search Reranking An UpDown Directed Acyclic Graph Approach for Sequential Pattern Mining Bregman Divergence-Based Regularization for Transfer Subspace Learning Closeness: A New Privacy Measure for Data Publishing Conic Programming for Multitask Learning Deriving Concept-Based User Profiles from Search Engine Logs Incremental and General Evaluation of Reverse Nearest Neighbors PP Reputation Management Using Distributed Identities and Decentralized Recommendation Chains Performance Comparison of the {rm R}^{ast}-Tree and the Quadtree for knn and Distance Join Queries Probabilistic Topic Models for Learning Terminological Ontologies Superseding Nearest Neighbor Search on Uncertain Spatial Databases Introduction to the Domain-Drive Data Mining Special Section Domain-Driven Data Mining: Challenges and Prospects

6 Bridging Domains Using World Wide Knowledge for Transfer Learning Knowledge-Based Interactive Postmining of Association Rules Using Ontologies Logic-Based Pattern Discovery Asking Generalized Queries to Domain Experts to Improve Learning Domain-Driven Classification Based on Multiple Criteria and Multiple Constraint-Level Programming for Intelligent Credit Scoring Signaling Potential Adverse Drug Reactions from Administrative Health Databases Feature Selection Using f-information Measures in Fuzzy Approximation Spaces Î -Presence without Complete World Knowledge Privacy-Preserving Gradient-Descent Methods Dynamic Dissimilarity Measure for Support-Based Clustering Kernel Discriminant Learning for Ordinal Regression Automatic Ontology Matching via Upper Ontologies: A Systematic Evaluation Building a Rule-Based Classifier A Fuzzy-Rough Set Approach Closing the Loop in Webpage Understanding

7 False Negative Problem of Counting Bloom Filter Incremental Evaluation of Visible Nearest Neighbor Queries Incremental Maintenance of -Hop Labeling of Large Graphs Iso-Map: Energy-Efficient Contour Mapping in Wireless Sensor Networks Parallelizing Itinerary-Based KNN Query Processing in Wireless Sensor Networks The Impact of Diversity on Online Ensemble Learning in the Presence of Concept Drift A Game Theoretic Approach for Simultaneous Compaction and Equipartitioning of Spatial Data Sets A Nonsupervised Learning Framework of Human Behavior Patterns Based on Sequential Actions Duplicate-Insensitive Order Statistics Computation over Data Streams Filter-Based Data Partitioning for Training Multiple Classifier Systems Filter-Based Data Partitioning for Training Multiple Classifier Systems Learning to Adapt Web Information Extraction Knowledge and Discovering New Attributes via a Bayesian Approach Efficient Algorithm for Localized Support Vector Machine Probabilistic Reverse Nearest Neighbor Queries on Uncertain Data

8 Prospective Infectious Disease Outbreak Detection Using Markov Switching Models Record Matching over Query Results from Multiple Web Databases The Tiled Bitmap Forensic Analysis Algorithm A Binary String Approach for Updates in Dynamic Ordered XML Data A Distance Measure Approach to Exploring the Rough Set Boundary Region for Attribute Reduction A General Framework of Time-Variant Bandwidth Allocation in the Data Broadcasting Environment Efficient Multidimensional Suppression for K-Anonymity Beyond Redundancies: A Metric-Invariant Method for Unsupervised Feature Selection Constrained Dimensionality Reduction Using a Mixed-Norm Penalty Function with Neural Networks Ensemble Rough Hypercuboid Approach for Classifying Cancers k-anonymity in the Presence of External Databases PAM: An Efficient and Privacy-Aware Monitoring Framework for Continuously Moving Objects Ranked Query Processing in Uncertain Databases Spectral Anonymization of Data

9 ViDE: A Vision-Based Approach for Deep Web Data Extraction A Unified Framework for Providing Recommendations in Social Tagging Systems Based on Ternary Semantic Analysis Dynamic Wavelet Synopses Management over Sliding Windows in Sensor Networks Energy- and Latency-Efficient Processing of Full-Text Searches on a Wireless Broadcast Stream Exploring Correlated Subspaces for Efficient Query Processing in Sparse Databases Filtering Data Streams for Entity-Based Continuous Queries FiVaTech: Page-Level Web Data Extraction from Template Pages Optimization of Linear Recursive Queries in SQL Structural and Role-Oriented Web Service Discovery with Taxonomies in OWL-S Uninterpreted Schema Matching with Embedded Value Mapping under Opaque Column Names and Data Values State of the Transactions Editorial Anonymous Query Processing in Road Networks Density Conscious Subspace Clustering for High-Dimensional Data Development of a Bayesian Framework for Determining Uncertainty in Receiver Operating Characteristic Curve Estimates

10 Learning with Positive and Unlabeled Examples Using Topic-Sensitive PLSA LIGHT: A Query-Efficient Yet Low-Maintenance Indexing Scheme over DHTs MILD: Multiple-Instance Learning via Disambiguation Modeling Massive RFID Data Sets: A Gateway-Based Movement Graph Approach Object and Combination Shedding Schemes for Adaptive Media Workflow Execution

11 ID: Ph : Chennai Kollam Madurai Ramnad Singapore Tuticorin

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