Advanced Data Mining and Applications

Invited Talk.- Mining Ambiguous Data with Multi-instance Multi-label Representation.- Regular Papers.- DELAY: A Lazy Approach for Mining Frequent Patterns over High Speed Data Streams.- Exploring Content and Linkage Structures for Searching Relevant Web Pages.- CLBCRA-Approach for Combination of Content-Based and Link-Based Ranking in Web Search.- Rough Sets in Hybrid Soft Computing Systems.- Discovering Novel Multistage Attack Strategies.- Privacy Preserving DBSCAN Algorithm for Clustering.- A New Multi-level Algorithm Based on Particle Swarm Optimization for Bisecting Graph.- A Supervised Subspace Learning Algorithm: Supervised Neighborhood Preserving Embedding.- A k-Anonymity Clustering Method for Effective Data Privacy Preservation.- LSSVM with Fuzzy Pre-processing Model Based Aero Engine Data Mining Technology.- A Coding Hierarchy Computing Based Clustering Algorithm.- Mining Both Positive and Negative Association Rules from Frequent and Infrequent Itemsets.- Survey of Improving Naive Bayes for Classification.- Privacy Preserving BIRCH Algorithm for Clustering over Arbitrarily Partitioned Databases.- Unsupervised Outlier Detection in Sensor Networks Using Aggregation Tree.- Separator: Sifting Hierarchical Heavy Hitters Accurately from Data Streams.- Spatial Fuzzy Clustering Using Varying Coefficients.- Collaborative Target Classification for Image Recognition in Wireless Sensor Networks.- Dimensionality Reduction for Mass Spectrometry Data.- The Study of Dynamic Aggregation of Relational Attributes on Relational Data Mining.- Learning Optimal Kernel from Distance Metric in Twin Kernel Embedding for Dimensionality Reduction and Visualization of Fingerprints.- Efficiently Monitoring Nearest Neighbors to a Moving Object.- A Novel Text Classification Approach Based on Enhanced Association Rule.- Applications of the Moving Average of n th -Order Difference Algorithm for Time Series Prediction.- Inference of Gene Regulatory Network by Bayesian Network Using Metropolis-Hastings Algorithm.- A Consensus Recommender for Web Users.- Constructing Classification Rules Based on SVR and Its Derivative Characteristics.- Hiding Sensitive Associative Classification Rule by Data Reduction.- AOG-ags Algorithms and Applications.- A Framework for Titled Document Categorization with Modified Multinomial Naivebayes Classifier.- Prediction of Protein Subcellular Locations by Combining K-Local Hyperplane Distance Nearest Neighbor.- A Similarity Retrieval Method in Brain Image Sequence Database.- A Criterion for Learning the Data-Dependent Kernel for Classification.- Topic Extraction with AGAPE.- Clustering Massive Text Data Streams by Semantic Smoothing Model.- GraSeq: A Novel Approximate Mining Approach of Sequential Patterns over Data Stream.- A Novel Greedy Bayesian Network Structure Learning Algorithm for Limited Data.- Optimum Neural Network Construction Via Linear Programming Minimum Sphere Set Covering.- How Investigative Data Mining Can Help Intelligence Agencies to Discover Dependence of Nodes in Terrorist Networks.- Prediction of Enzyme Class by Using Reactive Motifs Generated from Binding and Catalytic Sites.- Bayesian Network Structure Ensemble Learning.- Fusion of Palmprint and Iris for Personal Authentication.- Enhanced Graph Based Genealogical Record Linkage.- A Fuzzy Comprehensive Clustering Method.- Short Papers.- CACS: A Novel Classification Algorithm Based on Concept Similarity.- Data Mining in Tourism Demand Analysis: A Retrospective Analysis.- Chinese Patent Mining Based on Sememe Statistics and Key-Phrase Extraction.- Classification of Business Travelers Using SVMs Combined with Kernel Principal Component Analysis.- Research on the Traffic Matrix Based on Sampling Model.- A Causal Analysis for the Expenditure Data of Business Travelers.- A Visual and Interactive Data Exploration Method for Large Data Sets and Clustering.- Explorative Data Mining on Stock Data - Experimental Results and Findings.- Graph Structural Mining in Terrorist Networks.- Characterizing Pseudobase and Predicting RNA Secondary Structure with Simple H-Type Pseudoknots Based on Dynamic Programming.- Locally Discriminant Projection with Kernels for Feature Extraction.- A GA-Based Feature Subset Selection and Parameter Optimization of Support Vector Machine for Content - Based Image Retrieval.- E-Stream: Evolution-Based Technique for Stream Clustering.- H-BayesClust: A New Hierarchical Clustering Based on Bayesian Networks.- An Improved AdaBoost Algorithm Based on Adaptive Weight Adjusting.