Titolo: Advances in Knowledge Discovery and Data Mining: 11th Pacific-Asia Conference, PAKDD 2007, Nanjing, China, May 22-25, 2007, Proceedings (Lecture Notes in Computer Science, 4426)
Editore: Springer
Data di pubblicazione: 2007
Lingua: Inglese
ISBN 10: 3540717005
ISBN 13: 9783540717003
Rilegatura: Brossura
Condizione: New
Peso: 1757 grammi

Descrizione articolo

Riassunto

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.

Contenuti

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 Evolutionary Clustering.- Reducing Overfitting in Predicting Intrinsically Unstructured Proteins.- Temporal Relations Extraction in Mining Hepatitis Data.- Supervised Learning Approach to Optimize Ranking Function for Chinese FAQ-Finder.- Combining Convolution Kernels Defined on Heterogeneous Sub-structures.- Privacy-Preserving Sequential Pattern Release.- Mining Concept Associations for Knowledge Discovery Through Concept Chain Queries.- Capability Enhancement of Probabilistic Neural Network for the Design of Breakwater Armor Blocks.- Named Entity Recognition Using Acyclic Weighted Digraphs: A Semi-supervised Statistical Method.- Contrast Set Mining Through Subgroup Discovery Applied to Brain Ischaemina Data.- Intelligent Sequential Mining Via Alignment: Optimization Techniques for Very Large DB.- A Hybrid Prediction Method Combining RBF Neural Network and FAR Model.- An Advanced Fuzzy C-Mean Algorithm for Regional Clustering of Interconnected Systems.- Centroid Neural Network with Bhattacharyya Kernel for GPDF Data Clustering.- Concept Interconnection Based on Many-Valued Context Analysis.- Text Classification for Thai Medicinal Web Pages.- A Fast Algorithm for Finding Correlation Clusters in Noise Data.- Application of Discrimination Degree for Attributes Reduction in Concept Lattice.- A Language and a Visual Interface to Specify Complex Spatial Patterns.- Clustering Ensembles Based on Normalized Edges.- Quantum-Inspired Immune Clonal Multiobjective Optimization Algorithm.- Phase Space Reconstruction Based Classification of Power Disturbances Using Support Vector Machines.- Mining the Impact Factors of Threads and Participators on Usenet Using Link Analysis.- Weighted Rough Set Learning: Towards a Subjective Approach.- Multiple Self-Splitting and Merging Competitive Learning Algorithm.- A Novel Relative Space Based Gene Feature Extraction and Cancer Recognition.- Experiments on Kernel Tree Support Vector Machines for Text Categorization.- A New Approach for Similarity Queries of Biological Sequences in Databases.- Anomaly Intrusion Detection Based on Dynamic Cluster Updating.- Efficiently Mining Closed Constrained Frequent Ordered Subtrees by Using Border Information.- Approximate Trace of Grid-Based Clusters over High Dimensional Data Streams.- BRIM: An Efficient Boundary Points Detecting Algorithm.- Syntactic Impact on Sentence Similarity Measure in Archive-Based QA System.- Semi-structure Mining Method for Text Mining with a Chunk-Based Dependency Structure.- Principal Curves with Feature Continuity.- Kernel-Based Linear Neighborhood Propagation for Semantic Video Annotation.- Learning Bayesian Networks with Combination of MRMR Criterion and EMI Method.- A Cooperative Coevolution Algorithm of RBFNN for Classification.- ANGEL: A New Effective and Efficient Hybrid Clustering Technique for Large Databases.- Exploring Group Moving Pattern for an Energy-Constrained Object Tracking Sensor Network.- ProMail: Using Progressive Email Social Network for Spam Detection.- Multidimensional Decision Support Indicator (mDSI) for Time Series Stock Trend Prediction.- A Novel Support Vector Machine Ensemble Based on Subtractive Clustering Analysis.- Keyword Extraction Based on PageRank.- Finding the Optimal Feature Representations for Bayesian Network Learning.- Feature Extraction and Classification of Tumor Based on Wavelet Package and Support Vector Machines.- Resource Allocation and Scheduling Problem Based on Genetic Algorithm and Ant Colony Optimization.- Image Classification and Segmentation for Densely Packed Aggregates.- Mining Temporal Co-orientation Pattern from Spatio-temporal Databases.- Incremental Learning of Support Vector Machines by Classifier Combining.- Clustering Zebrafish Genes Based on Frequent-Itemsets and Frequency Levels.- A Practical Method for Approximate Subsequence Search in DNA Databases.- An Information Retrieval Model Based on Semantics.- AttributeNets: An Incremental Learning Method for Interpretable Classification.- Mining Personalization Interest and Navigation Patterns on Portal.- Cross-Lingual Document Clustering.- Grammar Guided Genetic Programming for Flexible Neural Trees Optimization.- A New Initialization Method for Clustering Categorical Data.- L0-Constrained Regression for Data Mining.- Application of Hybrid Pattern Recognition for Discriminating Paddy Seeds of Different Storage Periods Based on Vis/NIRS.- Density-Based Data Clustering Algorithms for Lower Dimensions Using Space-Filling Curves.- Transformation-Based GMM with Improved Cluster Algorithm for Speaker Identification.- Using Social Annotations to Smooth the Language Model for IR.- Affection Factor Optimization in Data Field Clustering.- A New Algorithm for Minimum Attribute Reduction Based on Binary Particle Swarm Optimization with Vaccination.- Graph Nodes Clustering Based on the Commute-Time Kernel.- Identifying Synchronous and Asynchronous Co-regulations from Time Series Gene Expression Data.- A Parallel Algorithm for Learning Bayesian Networks.- Incorporating Prior Domain Knowledge into a Kernel Based Feature Selection Algorithm.- Geo-spatial Clustering with Non-spatial Attributes and Geographic Non-overlapping Constraint: A Penalized Spatial Distance Measure.- GBKII: An Imputation Method for Missing Values.- An Effective Gene Selection Method Based on Relevance Analysis and Discernibility Matrix.- Towards Comprehensive Privacy Protection in Data Clustering.- A Novel Spatial Clustering with Obstacles Constraints Based on Particle Swarm Optimization and K-Medoids.- Online Rare Events Detection.- Structural Learning About Independence Graphs from Multiple Databases.- An Effective Method For Calculating Natural Adjacency Relation in Spatial Database.- K-Centers Algorithm for Clustering Mixed Type Data.- Proposion and Analysis of a TCP Feature of P2P Traffic.

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