Advances in Knowledge Discovery and Data Mining: 5th Pacific-Asia Conference, PAKDD 2001 Hong Kong, China, April 16-18, 2001. Proceedings (Lecture Notes ... / Lecture Notes in Artificial Intelligence)

This Book Constitutes The Refereed Proceedings Of The 5th Pacific-asia Conference On Knowledge Discovery And Data Mining, Pakdd 2001, Held In Hong Kong, China In April 2001. The 38 Revised Full Papers And 22 Short Papers Presented Were Carefully Reviewed And Selected From A Total Of 152 Submissions. The Book Offers Topical Sections On Web Mining, Text Mining, Applications And Tools, Concept Hierarchies, Feature Selection, Interestingness, Sequence Mining, Spatial And Temporal Mining, Association Mining, Classification And Rule Induction, Clustering, And Advanced Topics And New Methods. Keynote Presentations -- Incompleteness In Data Mining -- Mining E-commerce Data: The Good, The Bad, And The Ugly -- Seamless Integration Of Data Mining With Dbms And Applications -- Web Mining -- Applying Pattern Mining To Web Information Extraction -- Empirical Study Of Recommender Systems Using Linear Classifiers -- Ijade Eminer - A Web-based Mining Agent Based On Intelligent Java Agent Development Environment (ijade) On Internet Shopping -- A Characterized Rating Recommend System -- Discovery Of Frequent Tree Structured Patterns In Semistructured Web Documents -- Text Mining -- Text Categorization Using Weight Adjusted K-nearest Neighbor Classification -- Predictive Self-organizing Networks For Text Categorization -- Meta-learning Models For Automatic Textual Document Categorization -- Efficient Algorithms For Concept Space Construction -- Topic Detection, Tracking, And Trend Analysis Using Self-organizing Neural Networks --^ Automatic Hypertext Construction Through A Text Mining Approach By Self-organizing Maps -- Applications And Tools -- Semantic Expectation-based Causation Knowledge Extraction: A Study On Hong Kong Stock Movement Analysis -- A Toolbox Approach To Flexible And Efficient Data Mining -- Determining Progression In Glaucoma Using Visual Fields -- Seabreeze Prediction Using Bayesian Networks -- Semi-supervised Learning In Medical Image Database -- On Application Of Rough Data Mining Methods To Automatic Construction Of Student Models -- Concept Hierarchies -- Concept Approximation In Concept Lattice -- Generating Concept Hierarchies/networks: Mining Additional Semantics In Relational Data -- Representing Large Concept Hierarchies Using Lattice Data Structure -- Feature Selection -- Feature Selection For Temporal Health Records -- Boosting The Performance Of Nearest Neighbour Methods With Feature Selection -- Feature Selection For Meta-learning -- Interestingness --^ Efficient Mining Of Niches And Set Routines -- Evaluation Of Interestingness Measures For Ranking Discovered Knowledge -- Peculiarity Oriented Mining And Its Application For Knowledge Discovery In Amino-acid Data -- Sequence Mining -- Mining Sequence Patterns From Wind Tunnel Experimental Data For Flight Control -- Scalable Hierarchical Clustering Method For Sequences Of Categorical Values -- Ffs - An I/o-efficient Algorithm For Mining Frequent Sequences -- Sequential Index Structure For Content-based Retrieval -- Spatial And Temporal Mining -- The S 2-tree: An Index Structure For Subsequence Matching Of Spatial Objects -- Temporal Data Mining Using Hidden Markov-local Polynomial Models -- Patterns Discovery Based On Time-series Decomposition -- Criteria On Proximity Graphs For Boundary Extraction And Spatial Clustering -- Micro Similarity Queries In Time Series Database -- Association Mining -- Mining Optimal Class Association Rule Set --^ Generating Frequent Patterns With The Frequent Pattern List -- User-defined Association Mining -- Direct And Incremental Computing Of Maximal Covering Rules -- Towards Efficient Data Re-mining (drm) -- Data Allocation Algorithm For Parallel Association Rule Discovery -- Classification And Rule Induction -- Direct Domain Knowledge Inclusion In The Pa3 Rule Induction Algorithm -- Hierarchical Classification Of Documents With Error Control -- An Efficient Data Compression Approach To The Classification Task -- Combining The Strength Of Pattern Frequency And Distance For Classification -- A Scalable Algorithm For Rule Post-pruning Of Large Decision Trees -- Optimizing The Induction Of Alternating Decision Trees -- Building Behaviour Knowledge Space To Make Classification Decision -- Clustering -- Efficient Hierarchical Clustering Algorithms Using Partially Overlapping Partitions -- A Rough Set-based Clustering Method With Modification Of Equivalence Relations --^ Importance Of Individual Variables In The K-means Algorithm -- A Hybrid Approach To Clustering In Very Large Databases -- Advanced Topics And New Methods -- A Similarity Indexing Method For The Data Warehousing - Bit-wise Indexing Method -- Rule Reduction Over Numerical Attributes In Decision Trees Using Multilayer Perceptron -- Knowledge Acquisition From Both Human Expert And Data -- Neighborhood Dependencies For Prediction -- Learning Bayesian Networks With Hidden Variables Using The Combination Of Em And Evolutionary Algorithms -- Interactive Construction Of Decision Trees -- An Improved Learning Algorithm For Augmented Naive Bayes -- Generalised Rbf Networks Trained Using An Ibl Algorithm For Mining Symbolic Data. David Cheung, Graham J. Williams, Qing Li (eds.). Incompleteness in Data Mining....Pages 1-1 Mining E-Commerce Data: The Good, the Bad, and the Ugly....Pages 2-2 Seamless Integration of Data Mining with DBMS and Applications....Pages 3-3 Applying Pattern Mining to Web Information Extraction....Pages 4-15 Empirical Study of Recommender Systems Using Linear Classifiers....Pages 16-27 iJADE eMiner - A Web-Based Mining Agent Based on Intelligent Java Agent Development Environment (iJADE) on Internet Shopping....Pages 28-40 A Characterized Rating Recommend System....Pages 41-46 Discovery of Frequent Tree Structured Patterns in Semistructured Web Documents....Pages 47-52 Text Categorization Using Weight Adjusted k -Nearest Neighbor Classification....Pages 53-65 Predictive Self-Organizing Networks for Text Categorization....Pages 66-77 Meta-learning Models for Automatic Textual Document Categorization....Pages 78-89 Efficient Algorithms for Concept Space Construction....Pages 90-101 Topic Detection, Tracking, and Trend Analysis Using Self-Organizing Neural Networks....Pages 102-107 Automatic Hypertext Construction through a Text Mining Approach by Self-Organizing Maps....Pages 108-113 Semantic Expectation-Based Causation Knowledge Extraction: A Study on Hong Kong Stock Movement Analysis....Pages 114-123 A Toolbox Approach to Flexible and Efficient Data Mining....Pages 124-135 Determining Progression in Glaucoma Using Visual Fields....Pages 136-147 Seabreeze Prediction Using Bayesian Networks....Pages 148-153 Semi-supervised Learning in Medical Image Database....Pages 154-160 On Application of Rough Data Mining Methods to Automatic Construction of Student Models....Pages 161-166 Concept Approximation in Concept Lattice....Pages 167-173 Generating Concept Hierarchies/Networks: Mining Additional Semantics in Relational Data....Pages 174-185 Representing Large Concept Hierarchies Using Lattice Data Structure....Pages 186-197 Feature Selection for Temporal Health Records....Pages 198-209 Boosting the Performance of Nearest Neighbour Methods with Feature Selection....Pages 210-221 Feature Selection for Meta-learning....Pages 222-233 Efficient Mining of Niches and Set Routines....Pages 234-246 Evaluation of Interestingness Measures for Ranking Discovered Knowledge....Pages 247-259 Peculiarity Oriented Mining and Its Application for Knowledge Discovery in Amino-Acid Data....Pages 260-269 Mining Sequence Patterns from Wind Tunnel Experimental Data for Flight Control....Pages 270-281 Scalable Hierarchical Clustering Method for Sequences of Categorical Values....Pages 282-293 FFS - An I/O-Efficient Algorithm for Mining Frequent Sequences....Pages 294-305 Sequential Index Structure for Content-Based Retrieval....Pages 306-311 The S 2 -Tree: An Index Structure for Subsequence Matching of Spatial Objects....Pages 312-323 Temporal Data Mining Using Hidden Markov-Local Polynomial Models....Pages 324-335 Patterns Discovery Based on Time-Series Decomposition....Pages 336-347 Criteria on Proximity Graphs for Boundary Extraction and Spatial Clustering....Pages 348-357 Micro Similarity Queries in Time Series Database....Pages 358-363 Mining Optimal Class Association Rule Set....Pages 364-375 Generating Frequent Patterns with the Frequent Pattern List....Pages 376-386 User-Defined Association Mining....Pages 387-399 Direct and Incremental Computing of Maximal Covering Rules....Pages 400-405 Towards Efficient Data Re-mining (DRM)....Pages 406-412 Data Allocation Algorithm for Parallel Association Rule Discovery....Pages 413-420 Direct Domain Knowledge Inclusion in the PA3 Rule Induction Algorithm....Pages 421-432 Hierarchical Classification of Documents with Error Control....Pages 433-443 An Efficient Data Compression Approach to the Classification Task....Pages 444-454 Combining the Strength of Pattern Frequency and Distance for Classification....Pages 455-466 A Scalable Algorithm for Rule Post-pruning of Large Decision Trees....Pages 467-476 Optimizing the Induction of Alternating Decision Trees....Pages 477-487 Building Behaviour Knowledge Space to Make Classification Decision....Pages 488-494 Efficient Hierarchical Clustering Algorithms Using Partially Overlapping Partitions....Pages 495-506 A Rough Set-Based Clustering Method with Modification of Equivalence Relations....Pages 507-512 Importance of Individual Variables in the k -Means Algorithm....Pages 513-518 A Hybrid Approach to Clustering in Very Large Databases....Pages 519-524 A Similarity Indexing Method for the Data Warehousing - Bit-Wise Indexing Method....Pages 525-537 Rule Reduction over Numerical Attributes in Decision Trees Using Multilayer Perceptron....Pages 538-549 Knowledge Acquisition from Both Human Expert and Data....Pages 550-561 Neighborhood Dependencies for Prediction....Pages 562-567 Learning Bayesian Networks with Hidden Variables Using the Combination of EM and Evolutionary Algorithms....Pages 568-574 Interactive Construction of Decision Trees....Pages 575-580 An Improved Learning Algorithm for Augmented Naive Bayes....Pages 581-586 Generalised RBF Networks Trained Using an IBL Algorithm for Mining Symbolic Data....Pages 587-593