This book constitutes the refereed proceedings of the 7th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2003, held in Seoul, Korea in April/Mai 2003. The 38 revised full papers and 20 revised short papers presented together with two invited industrial contributions were carefully reviewed and selected from 215 submissions. The papers are presented in topical sections on stream mining, graph mining, clustering, text mining, Bayesian networks, association rules, semi-structured data mining, classification, data analysis, and feature selection.
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The amount spent by organizations in implementing and supporting database technology is considerable. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
website topology, data mining client, incremental association mining, reachability plot, frequent ruleitems, spatial time series datasets, itemset framework, topology variance, connected neighborhood graph, weighted association rules, reachability value, slot weighting, stream cube, graph structured data, conditional pattern base, bookmarking behaviors, caucus construction, edge sequence lattice, repetitive ratio, frequent event types, incremental windows, itemset approach, rule interest values, slot preference, tag tree pattern Key Phrases - Capitalized Phrases (CAPs): (learn more)
International Conference, Data Engineering, Springer-Verlag Berlin Heidelberg, Morgan Kaufmann, Artificial Intelligence, Management of Data, Hong Kong, New York, John Wiley, Department of Computer Science, Raw Distance, International Workshop, K-Harmonic Means, Kluwer Academic Publishers, Position Coded Pre-order Linked, Prentice Hall, Hair Color, Hidden Markov Model, University of California, Menlo Park, Nucleic Acids Research, Proceedings of the Pacific Symposium, San Francisco, San Jose, School of Computing New!
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The amount spent by organizations in implementing and supporting database technology is considerable. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
website topology, data mining client, incremental association mining, reachability plot, frequent ruleitems, spatial time series datasets, itemset framework, topology variance, connected neighborhood graph, weighted association rules, reachability value, slot weighting, stream cube, graph structured data, conditional pattern base, bookmarking behaviors, caucus construction, edge sequence lattice, repetitive ratio, frequent event types, incremental windows, itemset approach, rule interest values, slot preference, tag tree pattern Key Phrases - Capitalized Phrases (CAPs): (learn more)
International Conference, Data Engineering, Springer-Verlag Berlin Heidelberg, Morgan Kaufmann, Artificial Intelligence, Management of Data, Hong Kong, New York, John Wiley, Department of Computer Science, Raw Distance, International Workshop, K-Harmonic Means, Kluwer Academic Publishers, Position Coded Pre-order Linked, Prentice Hall, Hair Color, Hidden Markov Model, University of California, Menlo Park, Nucleic Acids Research, Proceedings of the Pacific Symposium, San Francisco, San Jose, School of Computing New!
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Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
Citations (learn more)
This book cites 67
books:
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- on 9 pages
- Data Mining by Jiawei Han on 7 pages
- Advances in Knowledge Discovery and Data Mining (American Association for Artificial Intelligence) by Usama M. Fayyad on 4 pages
- Data Mining: Concepts and Techniques, Second Edition (The Morgan Kaufmann Series in Data Management Systems) by Jiawei Han on page 134, page 282, and page 543
- Time Series Analysis: Forecasting & Control (3rd Edition) by George Box on page 530, and page 543
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