Advances in Knowledge Discovery and Data Mining: 7th Pacific-Asia Conference, PAKDD 2003. Seoul, Korea, April 30 - May 2, 2003, Proceedings, Volume 7

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Springer Science & Business Media, Apr 16, 2003 - Business & Economics - 610 pages
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The 7th Paci?c Asia Conference on Knowledge Discovery and Data Mining (PAKDD) was held from April 30 to May 2, 2003 in the Convention and Ex- bition Center (COEX), Seoul, Korea. The PAKDD conference is a major forum for academic researchers and industry practitioners in the Paci?c Asia region to share original research results and development experiences from di?erent KDD-related areas such as data mining, data warehousing, machine learning, databases, statistics, knowledge acquisition and discovery, data visualization, and knowledge-based systems. The conference was organized by the Advanced Information Technology Research Center (AITrc) at KAIST and the Statistical Research Center for Complex Systems (SRCCS) at Seoul National University. It was sponsored by the Korean Datamining Society (KDMS), the Korea Inf- mation Science Society (KISS), the United States Air Force O?ce of Scienti?c Research, the Asian O?ce of Aerospace Research & Development, and KAIST. It was held with cooperation from ACM’s Special Group on Knowledge Dis- very and Data Mining (SIGKDD).
 

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Contents

Data Mining as an Automated Service
1
Trends and Challenges in the Industrial Applications of KDD
14
Finding EventOriented Patterns in Long Temporal Sequences
15
Mining Frequent Episodes for Relating Financial Events and Stock Trends
27
An Efficient Algorithm of Frequent Connected Subgraph Extraction
40
Classifier Construction by GraphBased Induction for GraphStructured Data
52
Comparison of the Performance of CenterBased Clustering Algorithms
63
Automatic Extraction of Clusters from Hierarchical Clustering Representations
75
Evolutionary Approach for Mining Association Rules on Dynamic Databases
325
Position Coded Preorder Linked WAPTree for Web Log Sequential Pattern Mining
337
An Integrated System of Mining HTML Texts and Filtering Structured Documents
350
A New Sequential Mining Approach to XML Document Similarity Computation
356
Optimization of Fuzzy Rules for Classification Using Genetic Algorithm
363
Fast Pattern Selection for Support Vector Classifiers
376
A NoiseRobust Ensemble Method
388
Improving Performance of Decision Tree Algorithms with Multiedited Nearest Neighbor Rule
394

Large Scale Unstructured Document Classification Using Unlabeled Data and Syntactic Information
88
Extracting Shared Topics of Multiple Documents
100
An Empirical Study on Dimensionality Optimization in Text Mining for Linguistic Knowledge Acquisition
111
A Semisupervised Algorithm for Pattern Discovery in Information Extraction from Textual Data
117
Mining Patterns of Dyspepsia Symptoms Across Time Points Using Constraint Association Rules
124
Predicting Protein Structural Class from Closed Protein Sequences
136
Learning Rules to Extract Protein Interactions from Biomedical Text
148
Predicting Protein Interactions in Human by Homologous Interactions in Yeast
159
Mining the Customers UpToMoment Preferences for Ecommerce Recommendation
166
A GraphBased Optimization Algorithm for Website Topology Using Interesting Association Rules
178
A Markovian Approach for Web User Profiling and Clustering
191
Extracting User Interests from Bookmarks on the Web
203
Mining Frequent Instances on Workflows
209
Real Time Video Data Mining for Surveillance Video Streams
222
Distinguishing Causal and Acausal Temporal Relations
234
Online Bayes Point Machines
241
Exploiting Hierarchical Domain Values for Bayesian Learning
253
A New Restricted Bayesian Network Classifier
265
An Efficient Algorithm for Clustering Large HighDimensional Datasets
271
Multilevel Clustering and Reasoning about Its Clusters Using Region Connection Calculus
283
An Efficient CellBased Clustering Method for Handling Large HighDimensional Data
295
Enhancing SWF for Incremental Association Mining by Itemset Maintenance
301
Reducing Rule Covers with Deterministic Error Bounds
313
HypergraphBased Outlier Test for Categorical Data
399
A Method for Aggregating Partitions Applications in KDD
411
Efficiently Computing Iceberg Cubes with Complex Constraints through Bounding
423
Extraction of Tag Tree Patterns with Contractible Variables from Irregular Semistructured Data
430
A More Efficient Alternative for Polynomial Multiple Linear Regression in Stream Cube
437
An Efficient Method for TimeConstraint Mining
449
Mining Open Source Software OSS Data Using Association Rules Network
461
Parallel FPGrowth on PC Cluster
467
Active Feature Selection Using Classes
474
Electricity Based External Similarity of Categorical Attributes
486
Weighted Proportional kInterval Discretization for NaiveBayes Classifiers
501
An Indiscernibility Based Approach
513
Considering Correlation between Variables to Improve Spatiotemporal Forecasting
519
A FilterandRefine Approach
532
When to Update the Sequential Patterns of Stream Data
545
A New Clustering Algorithm for Transaction Data via Caucus
551
A DensityBased Spatial Clustering Method with Random Sampling
563
Optimized Clustering for Anomaly Intrusion Detection
576
Finding Frequent Subgraphs from Graph Structured Data with Geometric Information and Its Application to Lossless Compression
582
Upgrading ILP Rules to FirstOrder Bayesian Networks
595
A Clustering Validity Assessment Index
602
Author Index
609
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