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Principles of Data Mining and Knowledge Discovery

6th European Conference, PKDD 2002, Helsinki, Finland, August 19-23, 2002, Proceedings

Jezik EngleskiEngleski
Knjiga Meki uvez
Knjiga Principles of Data Mining and Knowledge Discovery Tapio Elomaa
Libristo kod: 01564522
Nakladnici Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, kolovoz 2002
This book constitutes the refereed proceedings of the 6th European Conference on Principles of Data... Cijeli opis
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This book constitutes the refereed proceedings of the 6th European Conference on Principles of Data Mining and Knowledge Discovery, PKDD 2002, held in Helsinki, Finland in August 2002.§The 39 revised full papers presented together with 4 invited contributions were carefully reviewed and selected from numerous submissions. Among the topics covered are kernel methods, probabilistic methods, association rule mining, rough sets, sampling algorithms, pattern discovery, web text mining, meta data clustering, rule induction, information extraction, dependency detection, rare class prediction, classifier systems, text classification, temporal sequence analysis, unsupervised learning, time series analysis, medical data mining, etc.

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Informacije o knjizi

Puni naziv Principles of Data Mining and Knowledge Discovery
Autor Tapio Elomaa, Heikki Mannila, Hannu Toivonen
Jezik Engleski
Uvez Knjiga - Meki uvez
Datum izdanja 2002
Broj stranica 514
EAN 9783540440376
ISBN 3540440372
Libristo kod 01564522
Nakladnici Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Težina 825
Dimenzije 155 x 235 x 30

Kategorija

Technology, Engineering, Agriculture > Electronics & communications engineering > Electronics engineering > Automatic control engineering > Robotics
Computing & Information Technology > Computer science > Mathematical theory of computation > Maths for computer scientists
Computing & Information Technology > Business applications > Word processing software
Computing & Information Technology > Business applications > Mathematical & statistical software
Computing & Information Technology > Graphical & digital media applications > Desktop publishing
Computing & Information Technology > Computer programming / software engineering > Database programming
Computing & Information Technology > Databases > Data capture & analysis
Computing & Information Technology > Databases > Data warehousing
Computing & Information Technology > Databases > Information retrieval
Computing & Information Technology > Computer science > Artificial intelligence
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