Advances in Knowledge Discovery and Data Mining

Association Rule Mining
- Using Rough Set in Feature Selection and Reduction in Face Recognition Problem
- Analysis of Company Growth Data Using Genetic Algorithms on Binary Trees
- Considering Re-occurring Features in Associative Classifiers
- A New Evolutionary Neural Network Classifier
- A Privacy-Preserving Classification Mining Algorithm
- Combining Classifiers with Multi-representation of Context in Word Sense Disambiguation
- Automatic Occupation Coding with Combination of Machine Learning and Hand-Crafted Rules
- Retrieval Based on Language Model with Relative Entropy and Feedback
- Text Classification for DAG-Structured Categories
- Sentiment Classification Using Word Sub-sequences and Dependency Sub-trees
- Improving Rough Classifiers Using Concept Ontology
- QED: An Efficient Framework for Temporal Region Query Processing
- Clustering
- A MPAA-Based Iterative Clustering Algorithm Augmented by Nearest Neighbors Search for Time-Series Data Streams
- Locating Motifs in Time-Series Data
- Stochastic Local Clustering for Massive Graphs
- A Neighborhood-Based Clustering Algorithm
- Improved Self-splitting Competitive Learning Algorithm
- Speeding-Up Hierarchical Agglomerative Clustering in Presence of Expensive Metrics
- Dynamic Cluster Formation Using Level Set Methods
- A Vector Field Visualization Technique for Self-organizing Maps
- Visualization of Cluster Changes by Comparing Self-organizing Maps
- An Incremental Data Stream Clustering Algorithm Based on Dense Units Detection
- Visual Interactive Evolutionary Algorithm for High Dimensional Data Clustering and Outlier Detection
- Approximated Clustering of Distributed High-Dimensional Data
- Dynamic Data Mining
- Improvements of IncSpan: Incremental Mining of Sequential Patterns in Large Database
- Efficient Sampling: Application to Image Data
- Cluster-Based Rough Set Construction
- Graphic Model Discovery
- Learning Bayesian Networks Structures from Incomplete Data: An Efficient Approach Based on Extended Evolutionary Programming
- Dynamic Fuzzy Clustering for Recommender Systems
- Improving Mining Quality by Exploiting Data Dependency
- High Dimensional Data
- Feature Selection for High Dimensional Face Image Using Self-organizing Maps
- Progressive Sampling for Association Rules Based on Sampling Error Estimation
- CLe Ver: A Feature Subset Selection Technique for Multivariate Time Series
- Covariance and PCA for Categorical Variables
- Integration of Data Warehousing
- ADenTS: An Adaptive Density-Based Tree Structure for Approximating Aggregate Queries over Real Attributes
- Frequent Itemset Mining with Parallel RDBMS
- Knowledge Management
- Using Consensus Susceptibility and Consistency Measures for Inconsistent Knowledge Management
- WLPMiner: Weighted Frequent Pattern Mining with Length-Decreasing Support Constraints
- Machine Learning Methods
- A Framework for Incorporating Class Priors into Discriminative Classification
- Increasing Classification Accuracy by Combining Adaptive Sampling and Convex Pseudo-Data
- Kernels over Relational Algebra Structures
- Adaptive Nonlinear Auto-Associative Modeling Through Manifold Learning
- Maximizing Tree Diversity by Building Complete-Random Decision Trees
- SETRED: Self-training with Editing
- Adjusting Mixture Weights of Gaussian Mixture Model via Regularized Probabilistic Latent Semantic Analysis
- Training Support Vector Machines Using Greedy Stagewise Algorithm
- Cl-GBI: A Novel Approach for Extracting Typical Patterns from Graph-Structured Data
- Improved Bayesian Spam Filtering Based on Co-weighted Multi-area Information
- Novel Algorithms
- An Efficient Framework for Mining Flexible Constraints
- Support Oriented Discovery of Generalized Disjunction-Free Representation of Frequent Patterns with Negation
- Feature Selection Algorithm for Data with Both Nominal and Continuous Features
- A Two-Phase Algorithm for Fast Discovery of High Utility Itemsets
- On Multiple Query Optimization in Data Mining
- USAID: Unifying Signature-Based and Anomaly-Based Intrusion Detection
- Spatial Data
- Mining Mobile Group Patterns: A Trajectory-Based Approach
- Can We Apply Projection Based Frequent Pattern Mining Paradigm to Spatial Co-location Mining?
- PatZip: Pattern-Preserved Spatial Data Compression
- Temporal Data
- A Likelihood Ratio Distance Measure for the Similarity Between the Fourier Transform of Time Series
- The TIMERS II Algorithm for the Discovery of Causality
- A Recent-Biased Dimension Reduction Technique for Time Series Data
- Graph Partition Model for Robust Temporal Data Segmentation
- Accurate Symbolization of Time Series
- A Novel Bit Level Time Series Representation with Implication of Similarity Search and Clustering
- Finding Temporal Features of Event-Oriented Patterns
- An Anomaly Detection Method for Spacecraft Using Relevance Vector Learning
- Cyclic Pattern Kernels Revisited
- Text and Web Data Mining
- Subspace Clustering of Text Documents with Feature Weighting K-Means Algorithm
- Using Term Clustering and Supervised Term Affinity Construction to Boost Text Classification
- Technology Trends Analysis from the Internet Resources
- Dynamic Mining Hierarchical Topic from Web News Stream Data Using Divisive-Agglomerative Clustering Method
- Collecting Topic-Related Web Pages for Link Structure Analysis by Using a Potential Hub and Authority First Approach
- A Top Down Algorithm for Mining Web Access Patterns from Web Logs
- Kernel Principal Component Analysis for Content Based Image Retrieval
- Mining Frequent Trees with Node-Inclusion Constraints