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

Li, Xue/ Zaiane, Osmar R./ Li, Zhanhuai

ISBN 10: 3540370250 / ISBN 13: 9783540370253

Editore: Springer-Verlag New York Inc, 2006

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1st edition. 1110 pages. 9.00x6.00x1.00 inches. In Stock.

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Dati bibliografici

• Titolo: Advanced Data Mining and Applications: Second International Conference, Adma 2006, Xi'an, China, August 14-16, 2006, Proceedings
• Editore: Springer-Verlag New York Inc
• Data di pubblicazione: 2006
• Lingua: Inglese
• ISBN 10: 3540370250
• ISBN 13: 9783540370253
• Rilegatura: Paperback
• Condizione: Brand New
• Peso: 1,3 chilogrammi

Descrizione articolo

Riassunto

Here are the proceedings of the 2nd International Conference on Advanced Data Mining and Applications, ADMA 2006, held in Xi'an, China, August 2006. The book presents 41 revised full papers and 74 revised short papers together with 4 invited papers. The papers are organized in topical sections on association rules, classification, clustering, novel algorithms, multimedia mining, sequential data mining and time series mining, web mining, biomedical mining, advanced applications, and more.

Contenuti

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.