Knowledge and Data Engineering Project IEEE Papers available in Java and DotNET, Java & DotNET IEEE 2013 - 2014

* A Bound on Kappa-Error Diagrams for Analysis of Classifier Ensembles
* A Context-Based Word Indexing Model for Document Summarization
* A Fast Clustering-Based Feature Subset Selection Algorithm for High-Dimensional Data
* A Formalism and Method for Representing and Reasoning with Process Models Authored by Subject Matter Experts
* A Generalized Flow-Based Method for Analysis of Implicit Relationships on Wikipedia
* A Graph-Based Consensus Maximization Approach for Combining Multiple Supervised and Unsupervised Models
* A Method for Mining Infrequent Causal Associations and Its Application in Finding Adverse Drug Reaction Signal Pairs
* A Methodology for Direct and Indirect Discrimination Prevention in Data Mining
* A New Algorithm for Inferring User Search Goals with Feedback Sessions
* A Novel Profit Maximizing Metric for Measuring Classification Performance of Customer Churn Prediction Models
* A Predictive-Reactive Method for Improving the Robustness of Real-Time Data Services
* A Proxy-Based Approach to Continuous Location-Based Spatial Queries in Mobile Environments
* A Rough-Set-Based Incremental Approach for Updating Approximations under Dynamic Maintenance Environments
* A Segmentation and Graph-Based Video Sequence Matching Method for Video Copy Detection
* A Survey of Discretization Techniques: Taxonomy and Empirical Analysis in Supervised Learning
* A Survival Modeling Approach to Biomedical Search Result Diversification Using Wikipedia
* A System to Filter Unwanted Messages from OSN User Walls
* Achieving Data Privacy through Secrecy Views and Null-Based Virtual Updates
* AML: Efficient Approximate Membership Localization within a Web-Based Join Framework
* Annotating Search Results from Web Databases
* Anomaly Detection via Online Oversampling Principal Component Analysis
* Anonymization of Centralized and Distributed Social Networks by Sequential Clustering
* Approximate Algorithms for Computing Spatial Distance Histograms with Accuracy Guarantees
* Automatic Semantic Content Extraction in Videos Using a Fuzzy Ontology and Rule-Based Model
* Benchmarking Data Exchange among Semantic-Web Ontologies
* Building a Scalable Database-Driven Reverse Dictionary
* CDAMA: Concealed Data Aggregation Scheme for Multiple Applications in Wireless Sensor Networks
* Centroid-Based Actionable 3D Subspace Clustering
* Change Detection in Streaming Multivariate Data Using Likelihood Detectors
* Classification and Adaptive Novel Class Detection of Feature-Evolving Data Streams
* Clustering Large Probabilistic Graphs
* Clustering Sentence-Level Text Using a Novel Fuzzy Relational Clustering Algorithm
* Clustering Uncertain Data Based on Probability Distribution Similarity
* Comparable Entity Mining from Comparative Questions
* Constrained Text Coclustering with Supervised and Unsupervised Constraints
* Co-Occurrence-Based Diffusion for Expert Search on the Web
* Coping with Events in Temporal Relational Databases
* COSAC: A Framework for Combinatorial Statistical Analysis on Cloud
* Cross-Domain Sentiment Classification Using a Sentiment Sensitive Thesaurus
* Cross-Space Affinity Learning with Its Application to Movie Recommendation
* Crowdsourced Trace Similarity with Smartphones
* Customized Policies for Handling Partial Information in Relational Databases
* Cutting Plane Training for Linear Support Vector Machines
* Decision Trees for Mining Data Streams Based on the McDiarmid's Bound
* Detecting Intrinsic Loops Underlying Data Manifold
* Dirichlet Process Mixture Model for Document Clustering with Feature Partition
* Discovering Characterizations of the Behavior of Anomalous Subpopulations
* Discovering Temporal Change Patterns in the Presence of Taxonomies
* Discrete Elastic Inner Vector Spaces with Application to Time Series and Sequence Mining
* Discriminative Nonnegative Spectral Clustering with Out-of-Sample Extension
* Distributed Processing of Probabilistic Top-k Queries in Wireless Sensor Networks
* Distributed Strategies for Mining Outliers in Large Data Sets
* Efficient Algorithms for Mining High Utility Itemsets from Transactional Databases
* Efficient and Effective Duplicate Detection in Hierarchical Data
* Efficient Evaluation of SUM Queries over Probabilistic Data
* Efficient Service Skyline Computation for Composite Service Selection
* Entity Translation Mining from Comparable Corpora: Combining Graph Mapping with Corpus Latent Features
* Evaluating Data Reliability: An Evidential Answer with Application to a Web-Enabled Data Warehouse
* Event Tracking for Real-Time Unaware Sensitivity Analysis (EventTracker)
* Extending BCDM to Cope with Proposals and Evaluations of Updates
* Facilitating Effective User Navigation through Website Structure Improvement
* Failure-Aware Cascaded Suppression in Wireless Sensor Networks
* Fast Activity Detection: Indexing for Temporal Stochastic Automaton-Based Activity Models
* Finding Probabilistic Prevalent Colocations in Spatially Uncertain Data Sets
* Finding Rare Classes: Active Learning with Generative and Discriminative Models
* FoCUS: Learning to Crawl Web Forums
* Fuzzy Web Data Tables Integration Guided by an Ontological and Terminological Resource
* Halite: Fast and Scalable Multiresolution Local-Correlation Clustering
* Harnessing Folksonomies to Produce a Social Classification of Resources
* HweeHwa Pang, Singapore Management University, Singapore
* Improving Word Similarity by Augmenting PMI with Estimates of Word Polysemy
* Incentive Compatible Privacy-Preserving Data Analysis
* Inferring Statistically Significant Hidden Markov Models
* Information-Theoretic Outlier Detection for Large-Scale Categorical Data
* k-Pattern Set Mining under Constraints
* Large Graph Analysis in the GMine System
* Latent Structured Perceptrons for Large-Scale Learning with Hidden Information
* Lineage Encoding: An Efficient Wireless XML Streaming Supporting Twig Pattern Queries
* Managing Structured and Semistructured RDF Data Using Structure Indexes
* Maximum Likelihood Estimation from Uncertain Data in the Belief Function Framework
* Minimally Supervised Novel Relation Extraction Using a Latent Relational Mapping
* Mining Graph Topological Patterns: Finding Covariations among Vertex Descriptors
* Mining Order-Preserving Submatrices from Data with Repeated Measurements
* Mining User Queries with Markov Chains: Application to Online Image Retrieval
* MKBoost: A Framework of Multiple Kernel Boosting
* Modeling and Solving Distributed Configuration Problems: A CSP-Based Approach
* Modeling Noisy Annotated Data with Application to Social Annotation
* Multiparty Access Control for Online Social Networks: Model and Mechanisms
* Multiview Partitioning via Tensor Methods
* Nonadaptive Mastermind Algorithms for String and Vector Databases, with Case Studies
* Nonnegative Matrix Factorization: A Comprehensive Review
* Novel Biobjective Clustering (BiGC) Based on Cooperative Game Theory
* On Generalizable Low False-Positive Learning Using Asymmetric Support Vector Machines
* On Identifying Critical Nuggets of Information during Classification Tasks
* On Similarity Preserving Feature Selection
* On the Analytical Properties of High-Dimensional Randomization
* Optimal Route Queries with Arbitrary Order Constraints
* Optimizing Multi-Top-k Queries over Uncertain Data Streams
* PMSE: A Personalized Mobile Search Engine
* Prequery Discovery of Domain-Specific Query Forms: A Survey
* Preventing Private Information Inference Attacks on Social Networks
* Principal Composite Kernel Feature Analysis: Data-Dependent Kernel Approach
* Protecting Sensitive Labels in Social Network Data Anonymization
* Radio Database Compression for Accurate Energy-Efficient Localization in Fingerprinting Systems
* Range-Based Skyline Queries in Mobile Environments
* ReFinder: A Context-Based Information Refinding System
* Reinforced Similarity Integration in Image-Rich Information Networks
* Relationships between Diversity of Classification Ensembles and Single-Class Performance Measures
* Revealing Density-Based Clustering Structure from the Core-Connected Tree of a Network
* Robust Module-Based Data Management
* Sampling Online Social Networks
* Secure Provenance Transmission for Streaming Data
* Semi-Supervised Nonlinear Hashing Using Bootstrap Sequential Projection Learning
* Single-Database Private Information Retrieval from Fully Homomorphic Encryption
* Skyline Processing on Distributed Vertical Decompositions
* Spatial Approximate String Search
* Spatial Query Integrity with Voronoi Neighbors
* Successive Group Selection for Microaggregation
* Supporting Flexible, Efficient, and User-Interpretable Retrieval of Similar Time Series
* Supporting Pattern-Preserving Anonymization for Time-Series Data
* Supporting Search-As-You-Type Using SQL in Databases
* SVStream: A Support Vector-Based Algorithm for Clustering Data Streams
* Synchronization-Inspired Partitioning and Hierarchical Clustering
* TACI: Taxonomy-Aware Catalog Integration
* The Adaptive Clustering Method for the Long Tail Problem of Recommender Systems
* The Minimum Consistent Subset Cover Problem: A Minimization View of Data Mining
* The Move-Split-Merge Metric for Time Series
* The Skyline of a Probabilistic Relation
* Toward SWSs Discovery: Mapping from WSDL to OWL-S Based on Ontology Search and Standardization Engine
* Trace Ratio Optimization-Based Semi-Supervised Nonlinear Dimensionality Reduction for Marginal Manifold Visualization
* Transductive Multilabel Learning via Label Set Propagation
* Transfer across Completely Different Feature Spaces via Spectral Embedding
* Tweet Analysis for Real-Time Event Detection and Earthquake Reporting System Development
* Unsupervised Hybrid Feature Extraction Selection for High-Dimensional Non-Gaussian Data Clustering with Variational Inference
* Update Summarization via Graph-Based Sentence Ranking
* U-Skyline: A New Skyline Query for Uncertain Databases