Advanced Data Mining and Applications : Second International Conference, ADMA 2006, Xi'an, China, August 14-16, 2006, Proceedings

Invited Papers.- Warehousing and Mining Massive RFID Data Sets.- Self-organising Map Techniques for Graph Data Applications to Clustering of XML Documents.- Finding Time Series Discords Based on Haar Transform.- Learning with Local Drift Detection.- Association Rules.- A Fast Algorithm for Maintenance of Association Rules in Incremental Databases.- Extending OLAP with Fuzziness for Effective Mining of Fuzzy Multidimensional Weighted Association Rules.- Incremental Maintenance of Association Rules Based on Multiple Previously Mined Results.- Mining and Validation of Localized Frequent Web Access Patterns with Dynamic Tolerance.- SA-IFIM: Incrementally Mining Frequent Itemsets in Update Distorted Databases.- Study of Positive and Negative Association Rules Based on Multi-confidence and Chi-Squared Test.- Efficiently Mining Maximal Frequent Mutually Associated Patterns.- Efficiently Mining Mutually and Positively Correlated Patterns.- Classification.- ComEnVprs: A Novel Approach for Inducing Decision Tree Classifiers.- Towards a Rough Classification of Business Travelers.- Feature Extraction Based on Optimal Discrimination Plane in ECG Signal Classification.- Music Style Classification with a Novel Bayesian Model.- Classification of Polarimetric SAR Data Based on Multidimensional Watershed Clustering.- An Effective Combination Based on Class-Wise Expertise of Diverse Classifiers for Predictive Toxicology Data Mining.- Robust Collective Classification with Contextual Dependency Network Models.- User-Centered Image Semantics Classification.- A Performance Study of Gaussian Kernel Classifiers for Data Mining Applications.- TTLSC – Transductive Total Least Square Model for Classification and Its Application in Medicine.- Forecasting Electricity Market Price Spikes Based on Bayesian Expert with Support Vector Machines.- Integrating Local One-Class Classifiers for Image Retrieval.- Incremental Discretization for Naïve-Bayes Classifier.- Distance Guided Classification with Gene Expression Programming.- Research on Multi-valued and Multi-labeled Decision Trees.- Clustering.- A Spatial Clustering Algorithm Based on SOFM.- Mining Spatial-temporal Clusters from Geo-databases.- A Fuzzy Subspace Algorithm for Clustering High Dimensional Data.- Robust Music Information Retrieval on Mobile Network Based on Multi-Feature Clustering.- Joint Cluster Based Co-clustering for Clustering Ensembles.- Mining Gait Pattern for Clinical Locomotion Diagnosis Based on Clustering Techniques.- Combining Multiple Clusterings Via k-Modes Algorithm.- HOV3: An Approach to Visual Cluster Analysis.- A New Fuzzy Co-clustering Algorithm for Categorization of Datasets with Overlapping Clusters.- Quantum-Behaved Particle Swarm Optimization Clustering Algorithm.- Clustering Mixed Data Based on Evidence Accumulation.- Mining Maximal Local Conserved Gene Clusters from Microarray Data.- Novel Algorithms.- A Novel P2P Information Clustering and Retrieval Mechanism.- Keeping Track of Customer Life Cycle to Build Customer Relationship.- Mining of Flexible Manufacturing System Using Work Event Logs and Petri Nets.- Improved Genetic Algorithm for Multiple Sequence Alignment Using Segment Profiles (GASP).- A Novel Visual Clustering Algorithm for Finding Community in Complex Network.- Self-Organizing Network Evolving Model for Mining Network Community Structure.- An Interactive Visualization Environment for Data Exploration Using Points of Interest.- Forecasting the Volatility of Stock Price Index.- ExMiner: An Efficient Algorithm for Mining Top-K Frequent Patterns.- Learning Bayesian Networks Structure with Continuous Variables.- A Unified Strategy of Feature Selection.- Experimental Comparison of Feature Subset Selection Using GA and ACO Algorithm.- OMVD: An Optimization of MVD.- ZED: Explaining Temporal Variations in Query Volume.- An Effective Multi-level Algorithm for Bisecting Graph.- A New Polynomial Time Algorithm for Bayesian Network Structure Learning.- Personalized Recommendation Based on Partial Similarity of Interests.- A Fast Implementation of the EM Algorithm for Mixture of Multinomials.- A Novel Approach to Pattern Recognition Based on PCA-ANN in Spectroscopy.- Semi-supervised Dynamic Counter Propagation Network.- The Practical Method of Fractal Dimensionality Reduction Based on Z-Ordering Technique.- Feature Selection for Complex Patterns.- Naïve Bayesian Tree Pruning by Local Accuracy Estimation.- A New Visualization Method for Patent Map: Application to Ubiquitous Computing Technology.- Local Linear Logistic Discriminant Analysis with Partial Least Square Components.- Activity Mining: Challenges and Prospects.- Finding the Optimal Cardinality Value for Information Bottleneck Method.- A New Algorithm for Enumerating All Maximal Cliques in Complex Network.- Modeling and Mining the Rule Evolution.- Knowledge Reduction in Inconsistent Decision Tables.- Text Mining.- Semantic Scoring Based on Small-World Phenomenon for Feature Selection in Text Mining.- A Comparative Study on Text Clustering Methods.- Concept Based Text Classification Using Labeled and Unlabeled Data.- Learning Semantic User Profiles from Text.- Multimedia Mining.- Audiovisual Integration for Racquet Sports Video Retrieval.- A Correlation Approach for Automatic Image Annotation.- Sequential Data Mining and Time Series Mining.- Fast Discovery of Time-Constrained Sequential Patterns Using Time-Indexes.- Multi-dimensional Sequential Pattern Mining Based on Concept Lattice.- Mining Time-Delayed Coherent Patterns in Time Series Gene Expression Data.- Mining Delay in Streaming Time Series of Industrial Process.- Segmental Semi-Markov Model Based Online Series Pattern Detection Under Arbitrary Time Scaling.- Diagnosis of Inverter Faults in PMSM DTC Drive Using Time-Series Data Mining Technique.- Applications of Data Mining Time Series to Power Systems Disturbance Analysis.- Mining Compressed Sequential Patterns.- Effective Feature Preprocessing for Time Series Forecasting.- On Similarity of Financial Data Series Based on Fractal Dimension.- Web Mining.- A Hierarchical Model of Web Graph.- Web Scale Competitor Discovery Using Mutual Information.- Biomedical Mining.- Co-expression Gene Discovery from Microarray for Integrative Systems Biology.- Cardiovascular Disease Diagnosis Method by Emerging Patterns.- DNA Microarray Data Clustering by Hidden Markov Models and Bayesian Information Criterion.- Application of Factor Analysis on Mycobacterium Tuberculosis Transcriptional Responses for Drug Clustering, Drug Target, and Pathway Detections.- First Steps to an Audio Ontology-Based Classifier for Telemedicine.- Obstacles and Misunderstandings Facing Medical Data Mining.- SVM-Based Tumor Classification with Gene Expression Data.- GEPCLASS: A Classification Rule Discovery Tool Using Gene Expression Programming.- Advanced Applications.- CBR-Based Knowledge Discovery on Results of Evolutionary Design of Logic Circuits.- Data Summarization Approach to Relational Domain Learning Based on Frequent Pattern to Support the Development of Decision Making.- Extreme Value Dependence in Problems with a Changing Causation Structure.- A Study on Object Recognition Technology Using PCA in the Variable Illumination.- Pattern Recurring in Three-Dimensional Graph Based on Data Mining.- Mining the Useful Skyline Set Based on the Acceptable Difference.- Modeling Information-Sharing Behaviors in BitTorrent System Based on Real Measurement.- Financial Distress Prediction Based on Similarity Weighted Voting CBR.- Customer Churn Prediction by Hybrid Model.- Base Vector Selection for Kernel Matching Pursuit.- WaveSim Transform for Multi-channel Signal Data Mining Through Linear Regression PCA.- Research on Query-by-Committee Method of Active Learning and Application.- Traffic Management Genetic Algorithm Supporting Data Mining and QoS in Sensor Networks.- Comparison of Data Pre-processing in Pattern Recognition of Milk Powder Vis/NIR Spectra.- Semi-automatic Hot Event Detection.- Security and Privacy Issues.- Profile-Based Security Against Malicious Mobile Agents.- A Comprehensive Categorization of DDoS Attack and DDoS Defense Techniques.- Structural Analysis and Mathematical Methods for Destabilizing Terrorist Networks Using Investigative Data Mining.- Alert Correlation Analysis in Intrusion Detection.- Spatial Data Mining.- OSDM: Optimized Shape Distribution Method.- View-Angle of Spatial Data Mining.- Streaming Data Mining.- Maintaining Moving Sums over Data Streams.- MFIS—Mining Frequent Itemsets on Data Streams.- Improving the Performance of Data Stream Classifiers by Mining Recurring Contexts.