The overwhelming demand for information processing is not just about a better understanding of data, but also a better usage of data in a timely fashion. , spatialdata mining, biomedical data mining, and mining on high-speed and time-variant data streams.

Data Mining Foundations.- Cost Sensitive Classification in Data Mining.- Web Users Access Paths Clustering Based on Possibilistic and Fuzzy Sets Theory.- Discriminative Markov Logic Network Structure Learning Based on Propositionalization and ? 2-Test.- EWGen: Automatic Generation of Item Weights for Weighted Association Rule Mining.- Best Clustering Configuration Metrics: Towards Multiagent Based Clustering.- On Probabilistic Models for Uncertain Sequential Pattern Mining.- Cube Based Summaries of Large Association Rule Sets.- A Perceptron-Like Linear Supervised Algorithm for Text Classification.- Research on Time Series Forecasting Model Based on Moore Automata.- A Clustering Algorithm FCM-ACO for Supplier Base Management.- Nearest Neighbour Distance Matrix Classification.- Classification Inductive Rule Learning with Negated Features.- Fast Retrieval of Time Series Using a Multi-resolution Filter with Multiple Reduced Spaces.- DHPTID-HYBRID Algorithm: A Hybrid Algorithm for Association Rule Mining.- An Improved Rough Clustering Using Discernibility Based Initial Seed Computation.- Fixing the Threshold for Effective Detection of Near Duplicate Web Documents in Web Crawling.- Topic-Constrained Hierarchical Clustering for Document Datasets.- Discretization of Time Series Dataset Using Relative Frequency and K-Nearest Neighbor Approach.- MSDBSCAN: Multi-density Scale-Independent Clustering Algorithm Based on DBSCAN.- An Efficient Algorithm for Mining Erasable Itemsets.- Discord Region Based Analysis to Improve Data Utility of Privately Published Time Series.- Deep Web Sources Classifier Based on DSOM-EACO Clustering Model.- Kernel Based K-Medoids for Clustering Data with Uncertainty.- Frequent Pattern Mining Using Modified CP-Tree for Knowledge Discovery.- SpatialNeighborhood Clustering Based on Data Field.- Surrounding Influenced K-Nearest Neighbors: A New Distance Based Classifier.- A Centroid k-Nearest Neighbor Method.- Mining Spatial Association Rules with Multi-relational Approach.- An Unsupervised Classification Method of Remote Sensing Images Based on Ant Colony Optimization Algorithm.- A Novel Clustering Algorithm Based on Gravity and Cluster Merging.- Data Mining in Specific Areas.- Evolution Analysis of a Mobile Social Network.- Distance Distribution and Average Shortest Path Length Estimation in Real-World Networks.- Self-adaptive Change Detection in Streaming Data with Non-stationary Distribution.- Anchor Points Seeking of Large Urban Crowd Based on the Mobile Billing Data.- Frequent Pattern Trend Analysis in Social Networks.- Efficient Privacy-Preserving Data Mining in Malicious Model.- Analyze the Wild Birds’ Migration Tracks by MPI-Based Parallel Clustering Algorithm.- Formal Concept Analysis Based Clustering for Blog Network Visualization.- Finding Frequent Subgraphs in Longitudinal Social Network Data Using a Weighted Graph Mining Approach.- Weigted-FP-Tree Based XML Query Pattern Mining.- Privacy-Preserving Data Mining in Presence of Covert Adversaries.- Multiple Level Views on the Adherent Cohesive Subgraphs in Massive Temporal Call Graphs.- Combating Link Spam by Noisy Link Analysis.- High Dimensional Image Categorization.- Efficiently Mining Co-Location Rules on Interval Data.- Multiple Attribute Frequent Mining-Based for Dengue Outbreak.- A Top-Down Approach for Hierarchical Cluster Exploration by Visualization.- Distributed Frequent Items Detection on Uncertain Data.- Mining Uncertain Sentences with Multiple Instance Learning.- WeightLOFCC: A Heuristic Weight-Setting Strategy of LOF Applied to OutlierDetection in Time Series Data.- TGP: Mining Top-K Frequent Closed Graph Pattern without Minimum Support.- Research on Similarity Matching for Multiple Granularities Time-Series Data.- A Novel Algorithm for Hierarchical Community Structure Detection in Complex Networks.- Investigating Sequential Patterns of DNS Usage and Its Applications.- Key Issues and Theoretical Framework on Moving Objects Data Mining.- An Improved KNN Based Outlier Detection Algorithm for Large Datasets.- Some Developments of Determinacy Analysis.- A New Computational Framework for Gene Expression Clustering.- Forecasting Short-Term Trends of Stock Markets Based on Fuzzy Frequent Pattern Tree.- Inspired Rule-Based User Identification.