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Advances in Data Mining. Applications and Theoretical Aspects: 17th Industrial Conference, ICDM 2017, New York, NY, USA, July 12-13, 2017, Proceedings ... (Lecture Notes in Artificial Intelligence) - Softcover
Synopsis
This book constitutes the refereed proceedings of the 17th Industrial Conference on Advances in Data Mining, ICDM 2017, held in New York, NY, USA, in July 2017.
The 27 revised full papers presented were carefully reviewed and selected from 71 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 in industry and society.
"synopsis" may belong to another edition of this title.
- PublisherSpringer
- Publication date2017
- ISBN 10 3319627007
- ISBN 13 9783319627007
- BindingPaperback
- LanguageEnglish
- Edition number1
- Number of pages357
- EditorPerner Petra
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Advances in Data Mining. Applications and Theoretical Aspects: 17th Industrial Conference, ICDM 2017, New York, NY, USA, July 12-13, 2017, Proceedings ... (Lecture Notes in Artificial Intelligence)
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Advances in Data Mining. Applications and Theoretical Aspects: 17th Industrial Conference, ICDM 2017, New York, NY, USA, July 12-13, 2017, Proceedings ... (Lecture Notes in Artificial Intelligence)
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Advances in Data Mining. Applications and Theoretical Aspects: 17th Industrial Conference, ICDM 2017, New York, NY, USA, July 12-13, 2017, Proceedings (Lecture Notes in Computer Science)
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Advances in Data Mining. Applications and Theoretical Aspects
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ISBN 13: 9783319627007
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book constitutes the refereed proceedings of the 17th Industrial Conference on Advances in Data Mining, ICDM 2017, held in New York, NY, USA, in July 2017.The 27 revised full papers presented were carefully reviewed and selected from 71 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 in industry and society. 360 pp. Englisch. Seller Inventory # 9783319627007
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Advances in Data Mining. Applications and Theoretical Aspects : 17th Industrial Conference, ICDM 2017, New York, NY, USA, July 12-13, 2017, Proceedings
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ISBN 10: 3319627007
ISBN 13: 9783319627007
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book constitutes the refereed proceedings of the 17th Industrial Conference on Advances in Data Mining, ICDM 2017, held in New York, NY, USA, in July 2017.The 27 revised full papers presented were carefully reviewed and selected from 71 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 in industry and society. Seller Inventory # 9783319627007
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Advances in Data Mining. Applications and Theoretical Aspects: 17th Industrial Conference, ICDM 2017, New York, NY, USA, July 12-13, 2017, Proceedings (Lecture Notes in Computer Science)
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Advances in Data Mining. Applications and Theoretical Aspects: 17th Industrial Conference, ICDM 2017, New York, NY, USA, July 12-13, 2017, Proceedings (Lecture Notes in Computer Science)
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Advances in Data Mining. Applications and Theoretical Aspects: 17th Industrial Conference, Icdm 2017, New York, Ny, USA, July 12-13, 2017, Proceedings
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Advances in Data Mining. Applications and Theoretical Aspects
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Kartoniert / Broschiert. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This book constitutes the refereed proceedings of the 17th Industrial Conference on Advances in Data Mining, ICDM 2017, held in New York, NY, USA, in July 2017. The 27 revised full papers presented were carefully reviewed and selected from 71 submissions. Seller Inventory # 150662595
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Advances in Data Mining. Applications and Theoretical Aspects: 17th Industrial Conference, ICDM 2017, New York, NY, USA, July 12-13, 2017, Proceedings (Lecture Notes in Computer Science)
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