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Advances in Data Mining. Applications and Theoretical Aspects [electronic resource] :16th Industrial Conference, ICDM 2016, New York, NY, USA, July 13-17, 2016. Proceedings /

Contributor(s): Perner, Petra [editor.] | SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Lecture Notes in Computer Science: 9728Publisher: Cham : Springer International Publishing : Imprint: Springer, 2016.Description: IX, 446 p. 144 illus. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783319415611.Subject(s): Computer science | Computer system failures | Computer programming | Programming languages (Electronic computers) | Data mining | Artificial intelligence | Computer Science | Data Mining and Knowledge Discovery | Information Systems Applications (incl. Internet) | Artificial Intelligence (incl. Robotics) | System Performance and Evaluation | Programming Languages, Compilers, Interpreters | Programming TechniquesOnline resources: Click here to access online
Contents:
Data Mining -- Multimedia Data in Marketing. Medicine -- E-Commerce -- Web-Mining -- Multimedia Data. .
In: Springer eBooksSummary: This book constitutes the refereed proceedings of the 16th Industrial Conference on Advances in Data Mining, ICDM 2016, held in New York, NY, USA, in July 2016. The 33 revised full papers presented were carefully reviewed and selected from 100 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 in process control, industry, and society.
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Data Mining -- Multimedia Data in Marketing. Medicine -- E-Commerce -- Web-Mining -- Multimedia Data. .

This book constitutes the refereed proceedings of the 16th Industrial Conference on Advances in Data Mining, ICDM 2016, held in New York, NY, USA, in July 2016. The 33 revised full papers presented were carefully reviewed and selected from 100 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 in process control, industry, and society.

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