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New Frontiers in Mining Complex Patterns

Third International Workshop, NFMCP 2014, Held in Concunction with ECML-PKDD 2014, Nancy, France, September 19, 2014, Revised Selected Papers

Jezik EngleskiEngleski
Knjiga Meki uvez
Knjiga New Frontiers in Mining Complex Patterns Annalisa Appice
Libristo kod: 09249968
Nakladnici Springer International Publishing AG, travanj 2015
This book constitutes the thoroughly refereed post-conference proceedings of the Third International... Cijeli opis
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This book constitutes the thoroughly refereed post-conference proceedings of the Third International Workshop on New Frontiers in Mining Complex Patterns, NFMCP 2014, held in conjunction with ECML-PKDD 2014 in Nancy, France, in September 2014.§The 13 revised full papers presented were carefully reviewed and selected from numerous submissions. They illustrate advanced data mining techniques which preserve the informative richness of complex data and allow for efficient and effective identification of complex information units present in such data. The papers are organized in the following sections: classification and regression; clustering; data streams and sequences; applications.

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Informacije o knjizi

Puni naziv New Frontiers in Mining Complex Patterns
Autor Annalisa Appice, Michelangelo Ceci, Corrado Loglisci, Giuseppe Manco, Elio Masciari, Zbigniew W. Ras
Jezik Engleski
Uvez Knjiga - Meki uvez
Datum izdanja 2015
Broj stranica 211
EAN 9783319178752
ISBN 331917875X
Libristo kod 09249968
Nakladnici Springer International Publishing AG
Težina 454
Dimenzije 155 x 235 x 12

Kategorija

Technology, Engineering, Agriculture > Electronics & communications engineering > Electronics engineering > Automatic control engineering > Robotics
Computing & Information Technology > Computer science > Artificial intelligence > Expert systems / knowledge-based systems
Computing & Information Technology > Computer programming / software engineering > Database programming
Computing & Information Technology > Databases > Data warehousing
Computing & Information Technology > Databases > Data mining
Computing & Information Technology > Databases > Information retrieval
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