Front matter
1
KDD as an Enterprise IT Tool: Reality and Agenda
Won Kim
2
Computer Assisted Discovery of First Principle Equations from Numeric Data
Hiroshi Motoda
3-12
Data Mining — a Rough Set Perspective
Zdzisław Pawlak
13-23
Data Mining Techniques for Associations, Clustering and Classification
Charu C. Aggarwal and Philip S. Yu
24-33
Data Mining: Granular Computing Approach
T. Y. Lin
34-44
Rule Extraction from Prediction Models
Hiroshi Tsukimoto
44-53
Mining Association Rules on Related Numeric Attributes
Xiaoyong Du, Zhibin Liu and Naohiro Ishii
54-64
LGen — A Lattice-Based Candidate Set Generation Algorithm for I/O Efficient Association Rule Mining
Chi Lap Yip, K. K. Loo, Ben Kao, David Cheung and C. K. Cheng
64-74
Extending the Applicability of Association Rules
Karthick Rajamani, Sam Sung and Alan Cox
74-83
An Efficient Approach for Incremental Association Rule Mining
Pauray S. M. Tsai, Chih-Chong Lee and Arbee L. P. Chen
84-93
Association Rules in Incomplete Databases
Marzena Kryszkiewicz
94-99
Parallel SQL Based Association Rule Mining on Large Scale PC Cluster: Performance Comparison with Directly Coded C Implementation
Iko Pramudiono, Takahiko Shintani, Takayuki Tamura and Masaru Kitsuregawa
99-103
H-Rule Mining in Heterogeneous Databases
Yuping Yang and Mukesh Singhal
104-108
An Improved Definition of Multidimensional Inter-transaction Association Rule
Aoying Zhou, Shuigeng Zhou, Jin Wen and Zengping Tian
109-113
Incremental Discovering Association Rules: A Concept Lattice Approach
Keyun Hu, Yuchang Lu and Chunyi Shi
114-122
Induction as Pre-processing
Xindong Wu
123-132
Stochastic Attribute Selection Committees with Multiple Boosting: Learning More Accurate and More Stable Classifier Committees
Zijian Zheng and Geoffrey I. Webb
133-137
On Information-Theoretic Measures of Attribute Importance
Y. Y. Yao, S. K. M. Wong and C. J. Butz
138-142
A Technique of Dynamic Feature Selection Using the Feature Group Mutual Information
Kee-Cheol Lee
143-147
A Data Pre-processing Method Using Association Rules of Attributes for Improving Decision Tree
Masahiro Terabe, Osamu Katai, Tetsuo Sawaragi, Takashi Washio and Hiroshi Motoda
148-158
An Algorithm for Constrained Association Rule Mining in Semi-structured Data
Lisa Singh, Bin Chen, Rebecca Haight and Peter Scheuermann
159-168
Incremental Mining of Schema for Semistructured Data
Aoying Zhou, Jinwen, Zhou Shuigeng and Zenping Tian
169-173
Discovering Structure from Document Databases
Mon-Fong Jiang, Shian-Shyong Tseng and Chang-Jiun Tsai
174-179
Combining Forecasts from Multiple Textual Data Sources
Vincent Cho and Beat Wüthrich
179-183
Domain Knowledge Extracting in a Chinese Natural Language Interface to Databases: NChiql
Xiaofeng Meng, Yong Zhou and Shan Wang
184-193
Evolutionary Hot Spots Data Mining
An Architecture for Exploring for Interesting Discoveries
Graham J. Williams
194-204
Efficient Search of Reliable Exceptions
Huan Liu, Hongjun Lu, Ling Feng and Farhad Hussain
204-210
Heuristics for Ranking the Interestingness of Discovered Knowledge
Robert J. Hilderman and Howard J. Hamilton
210-219
Automated Discovery of Plausible Rules Based on Rough Sets and Rough Inclusion
Shusaku Tsumoto
220-227
Discernibility System in Rough Sets
Liu Zongtian and Xie Zhipeng
228-237
Automatic Labeling of Self-Organizing Maps: Making a Treasure-Map Reveal Its Secrets
Andreas Rauber and Dieter Merkl
238-246
Neural Network Based Classifiers for a Vast Amount of Data
Ling Zhang and Bo Zhang
247-252
Accuracy Tuning on Combinatorial Neural Model
Hércules A. Prado, Karla F. Machado, Sandra R. Frigeri and Paulo M. Engel
252-257
A Situated Information Articulation Neural Network: VSF Network
Y. Kakemoto and S. Nakasuka
258-262
Neural Method for Detection of Complex Patterns in Databases
Chao Deng and Fanlun Xiong
263-268
Preserve Discovered Linguistic Patterns Valid in Volatility Data Environment
Xuemei Shi, Chan Man-chung and Deyi Li
268-274
An Induction Algorithm Based on Fuzzy Logic Programming
1Daisuke Shibata, Nobuhiro Inuzuka, Shohei Kato, Tohgoroh Matsui and Hidenori Itoh
274-278
Rule Discovery in Databases with Missing Values Based on Rough Set Model
Shusaku Tsumoto
279-283
Sustainability Knowledge Mining from Human Development Database
Xuefei Wang, Rusong Wang and Jue Wang
284-295
Characterization of Default Knowledge in Ripple Down Rules Method
Takuya Wada, Tadashi Horiuchi, Hiroshi Motoda and Takashi Washio
296-305
Improving the Performance of Boosting for Naive Bayesian Classification
Kai Ming Ting and Zijian Zheng
306-316
Convex Hulls in Concept Induction
D. A. Newlands and G. I. Webb
317-326
Mining Classification Knowledge Based on Cloud Models
Jianhua Fan and Deyi Li
327-338
Robust Clusterin of Large Geo-referenced Data Sets
Vladimir Estivill-Castro and Michael E. Houle
338-349
A Fast Algorithm for Density-Based Clustering in Large Database
Bo Zhou, David W. Cheung and Ben Kao
350-354
A Lazy Model-Based Algorithm for On-Line Classification
Gabor Melli
355-360
An Efficient Space-Partitioning Based Algorithm for the K-Means Clustering
Khaled AlSabti, Sanjay Ranka and Vineet Singh
360-364
A Fast Clustering Process for Outliers and Remainder Clusters
Chih-Ming Su, Shian-Shyong Tseng, Monn-Fong Jiang and Joe C. S. Chen
365-369
Optimising the Distance Metric in the Nearest Neighbour Algorithm on a Real-World Patient Classification Problem
Hongxing He and Simon Hawkins
370-375
Classifying Unseen Cases with Many Missing Values
Zijian Zheng and Boon Toh Low
375-379
Study of a Mixed Similarity Measure for Classification and Clustering
Tu Bao Ho, Ngoc Binh Nguyen and Takafumi Morita
380-389
Visually Aided Exploration of Interesting Association Rules
Bing Liu, Wynne Hsu, Ke Wang and Shu Chen
390-399
DVIZ: A System for Visualizing Data Mining
Jianchao Han and Nick Cercone
400-409
A Minimal Causal Model Learner
Honghua Dai
409-419
Efficient Graph-Based Algorithm for Discovering and Maintaining Knowledge in Large Databases
K. L. Lee, Guanling Lee and Arbee L. P. Chen
421-433
Basket Analysis for Graph Structured Data
Akihiro Inokuchi, Takashi Washio, Hiroshi Motoda, Kouhei Kumasawa and Naohide Arai
433-438
The Evolution of Causal Models: A Comparison of Bayesian Metrics and Structure Priors
1Julian R. Neiland and Kein B. Korb
438-442
KD-FGS: A Knowledge Discovery System from Graph Data Using Formal Graph System
Tetsuhiro Miyahara, Tomoyuki Uchida, Tetsuji Kuboyama, Tatsuya Yamamoto and Kenichi Takahashi, et al.
443-452
Probing Knowledge in Distributed Data Mining
Yike Guo and Janjao Sutiwaraphun
453-463
Discovery of Equations and the Shared Operational Semantics in Distributed Autonomous Databases
Zbigniew W. Raś and Jan M. Żytkow
464-468
The Data-Mining and the Technology of Agents to Fight the Illicit Electronic Messages
A. Zighed, M. Côté and N. Troudi
469-473
Knowledge Discovery in SportsFinder: An Agent to Extract Sports Results from the Web
Hongen Lu, Leon Sterling and Alex Wyatt
474-478
Event Mining with Event Processing Networks
Louis Perrochon, Walter Mann, Stephane Kasriel and David C. Luckham
479-488
An Analysis of Quantitative Measures Associated with Rules
Y. Y. Yao and Ning Zhong
489-493
A Strong Relevant Logic Model of Epistemic Processes in Scientific Discovery
Extended Abstract
Jingde Cheng
494-499
Discovering Conceptual Differences among Different People via Diverse Structures
Tetsuya Yoshida, Teruyuki Kondo and Shogo Nishida
499-503
Ordered Estimation of Missing Values
Oscar Ortega Lobo and Masayuki Numao
504-508
Prediction Rule Discovery Based on Dynamic Bias Selection
1Einoshin Suzuki and Toru Ohno
509-514
Discretization of Continuous Attributes for Learning Classification Rules
Aijun An and Nick Cercone
515-520
BRRA: A Based Relevant Rectangles Algorithm for Mining Relationships in Databases
Sadok Ben Yahia and Ali Jaoua
520-524
Mining Functional Dependency Rule of Relational Database
Xiaopeng Tao, Ning Wang, Shuigeng Zhou, Aoying Zhou and Yunfa Hu
525-530
Time-Series Prediction with Cloud Models in DMKD
Rong Jiang, Deyi Li and Hui Chen
Back matter