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Advances in Data Mining: Applications and Theoretical Aspects

Name: Advances in Data Mining: Applications and Theoretical Aspects
Brand: Springer International Publishing AG
SKU: 09354226
Price: 61.28 EUR
Availability: InStock

Petra Perner

Jezik

Engleski

Knjiga Meki uvez

Libristo kod: 09354226

Nakladnici Springer International Publishing AG, lipanj 2015

This book constitutes the refereed proceedings of the 15th Industrial Conference on Advances in Data... Cijeli opis

Libristo kod: 09354226

154 b

61.28 €

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This book constitutes the refereed proceedings of the 15th Industrial Conference on Advances in Data Mining, ICDM 2015, held in Hamburg, Germany, in July 2015. The 16 revised full papers presented were carefully reviewed and selected from various submissions. The topics range from theoretical aspects of data mining to applications of data mining, such as in multimedia data, in marketing, in medicine and agriculture, and in process control, industry and society.

Informacije o knjizi

Puni naziv Advances in Data Mining: Applications and Theoretical Aspects

Autor Petra Perner

Jezik

Engleski

Uvez Knjiga - Meki uvez

Datum izdanja 2015

Broj stranica 279

EAN 9783319209098

ISBN 3319209094

Libristo kod 09354226

Nakladnici Springer International Publishing AG

Težina 4453

Dimenzije 155 x 235 x 15

Kategorija

Technology, Engineering, Agriculture > Electronics & communications engineering > Electronics engineering > Automatic control engineering > Robotics

Computing & Information Technology > Digital lifestyle > Internet guides & online services > Internet searching

Computing & Information Technology > Computer science > Artificial intelligence > Expert systems / knowledge-based systems

Computing & Information Technology > Computer science > Artificial intelligence > Natural language & machine translation

Computing & Information Technology > Computer science > Human–computer interaction > User interface design & usability

Computing & Information Technology > Databases > Data warehousing

Computing & Information Technology > Databases > Data mining

Computing & Information Technology > Databases > Information retrieval

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