Zhou / Li / Yang Advances in Knowledge Discovery and Data Mining

11th Pacific-Asia Conference, PAKDD 2007, Nanjing, China, May 22-25, 2007, Proceedings
2007
ISBN: 978-3-540-71700-3
Verlag: Springer, Berlin

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Beschreibung

This book constitutes the refereed proceedings of the 11th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2007, held in Nanjing, China, May 2007. It covers new ideas, original research results and practical development experiences from all KDD-related areas including data mining, machine learning, data warehousing, data visualization, automatic scientific discovery, knowledge acquisition and knowledge-based systems.

Autoren

Herausgeber

Zhou, Zhi-Hua

Li, Hang

Yang, Qiang

Inhaltsverzeichnis

Keynote Speeches.- Research Frontiers in Advanced Data Mining Technologies and Applications.- Finding the Real Patterns.- Class Noise vs Attribute Noise: Their Impacts, Detection and Cleansing.- Multi-modal and Multi-granular Learning.- Regular Papers.- Hierarchical Density-Based Clustering of Categorical Data and a Simplification.- Multi-represented Classification Based on Confidence Estimation.- Selecting a Reduced Set for Building Sparse Support Vector Regression in the Primal.- Mining Frequent Itemsets from Uncertain Data.- QC4 - A Clustering Evaluation Method.- Semantic Feature Selection for Object Discovery in High-Resolution Remote Sensing Imagery.- Deriving Private Information from Arbitrarily Projected Data.- Consistency Based Attribute Reduction.- A Hybrid Command Sequence Model for Anomaly Detection.- ?-Algorithm: Structured Workflow Process Mining Through Amalgamating Temporal Workcases.- Multiscale BiLinear Recurrent Neural Network for Prediction of MPEG Video Traffic.- An Effective Multi-level Algorithm Based on Ant Colony Optimization for Bisecting Graph.- A Unifying Method for Outlier and Change Detection from Data Streams Based on Local Polynomial Fitting.- Simultaneous Tuning of Hyperparameter and Parameter for Support Vector Machines.- Entropy Regularization, Automatic Model Selection, and Unsupervised Image Segmentation.- A Timing Analysis Model for Ontology Evolutions Based on Distributed Environments.- An Optimum Random Forest Model for Prediction of Genetic Susceptibility to Complex Diseases.- Feature Based Techniques for Auto-Detection of Novel Email Worms.- Multiresolution-Based BiLinear Recurrent Neural Network.- Query Expansion Using a Collection Dependent Probabilistic Latent Semantic Thesaurus.- Scaling Up Semi-supervised Learning: An Efficient and Effective LLGC Variant.- A Machine Learning Approach to Detecting Instantaneous Cognitive States from fMRI Data.- Discovering Correlated Items in Data Streams.- Incremental Clustering in Geography and Optimization Spaces.- Estimation of Class Membership Probabilities in the Document Classification.- A Hybrid Multi-group Privacy-Preserving Approach for Building Decision Trees.- A Constrained Clustering Approach to Duplicate Detection Among Relational Data.- Understanding Research Field Evolving and Trend with Dynamic Bayesian Networks.- Embedding New Data Points for Manifold Learning Via Coordinate Propagation.- Spectral Clustering Based Null Space Linear Discriminant Analysis (SNLDA).- On a New Class of Framelet Kernels for Support Vector Regression and Regularization Networks.- A Clustering Algorithm Based on Mechanics.- DLDA/QR: A Robust Direct LDA Algorithm for Face Recognition and Its Theoretical Foundation.- gPrune: A Constraint Pushing Framework for Graph Pattern Mining.- Short Papers.- Modeling Anticipatory Event Transitions.- A Modified Relationship Based Clustering Framework for Density Based Clustering and Outlier Filtering on High Dimensional Datasets.- A Region-Based Skin Color Detection Algorithm.- Supportive Utility of Irrelevant Features in Data Preprocessing.- Incremental Mining of Sequential Patterns Using Prefix Tree.- A Multiple Kernel Support Vector Machine Scheme for Simultaneous Feature Selection and Rule-Based Classification.- Combining Supervised and Semi-supervised Classifier for Personalized Spam Filtering.- Qualitative Simulation and Reasoning with Feature Reduction Based on Boundary Conditional Entropy of Knowledge.- A Hybrid Incremental Clustering Method-Combining Support Vector Machine and Enhanced Clustering by Committee Clustering Algorithm.- CCRM: An Effective Algorithm for Mining Commodity Information from Threaded Chinese Customer Reviews.- A Rough Set Approach to Classifying Web Page Without Negative Examples.- Evolution and Maintenance of Frequent Pattern Space When Transactions Are Removed.- Establishing Semantic Relationship in Inter-query Learning for Content-Based Image Retrieval Systems.- Density-Sensitive Ev

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Research

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