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Principles of Data Mining and Knowledge Discovery

Jezik EngleskiEngleski
Knjiga Meki uvez
Knjiga Principles of Data Mining and Knowledge Discovery Mohamed Quafafou
Libristo kod: 05274880
Nakladnici Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, rujan 1998
This book constitutes the refereed proceedings of the Second European Symposium on Principles of Dat... Cijeli opis
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This book constitutes the refereed proceedings of the Second European Symposium on Principles of Data Mining and Knowledge Discovery, PKDD '98, held in Nantes, France, in September 1998.The volume presents 26revised papers corresponding to the oral presentations given at the conference; also included are refereed papers corresponding to the 30 poster presentations. These papers were selected from a total of 73 full draft submissions. The papers are organized in topical sections on rule evaluation, visualization, association rules and text mining, KDD process and software, tree construction, sequential and spatial data mining, and attribute selection.

Informacije o knjizi

Puni naziv Principles of Data Mining and Knowledge Discovery
Autor Mohamed Quafafou, Jan M. Zytkow
Jezik Engleski
Uvez Knjiga - Meki uvez
Datum izdanja 1998
Broj stranica 484
EAN 9783540650683
ISBN 3540650687
Libristo kod 05274880
Nakladnici Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Težina 1530
Dimenzije 155 x 235 x 27

Kategorija

Technology, Engineering, Agriculture > Electronics & communications engineering > Electronics engineering > Automatic control engineering > Robotics
Computing & Information Technology > Digital lifestyle > Internet guides & online services > Internet searching
Economics, Finance, Business & Management > Business & Management > Business mathematics & systems
Computing & Information Technology > Computer programming / software engineering > Algorithms & data structures
Computing & Information Technology > Databases > Data warehousing
Computing & Information Technology > Databases > Information retrieval
Computing & Information Technology > Computer security > Data encryption
Computing & Information Technology > Computer science > Artificial intelligence
Computing & Information Technology > Business applications
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