Advances in Data Mining. Applications and Theoretical Aspects Advances in Data Mining. Applications and Theoretical Aspects

Advances in Data Mining. Applications and Theoretical Aspects

16th Industrial Conference, ICDM 2016, New York, NY, USA, July 13-17, 2016. Proceedings

    • ‏39٫99 US$
    • ‏39٫99 US$

وصف الناشر

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.

النوع
كمبيوتر وإنترنت
تاريخ النشر
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٢٧ يونيو
اللغة
EN
الإنجليزية
عدد الصفحات
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الناشر
Springer International Publishing
البائع
Springer Nature B.V.
الحجم
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‫م.ب.‬
Data Mining and Big Data Data Mining and Big Data
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Advances in Data Mining: Applications and Theoretical Aspects Advances in Data Mining: Applications and Theoretical Aspects
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Hybrid Artificial Intelligent Systems Hybrid Artificial Intelligent Systems
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Intelligence Science and Big Data Engineering. Big Data and Machine Learning Techniques Intelligence Science and Big Data Engineering. Big Data and Machine Learning Techniques
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Hybrid Artificial Intelligent Systems Hybrid Artificial Intelligent Systems
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Intelligent Information and Database Systems Intelligent Information and Database Systems
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Advances in Data Mining. Medical Applications, E-Commerce, Marketing, and Theoretical Aspects Advances in Data Mining. Medical Applications, E-Commerce, Marketing, and Theoretical Aspects
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Machine Learning and Data Mining in Pattern Recognition Machine Learning and Data Mining in Pattern Recognition
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Machine Learning and Data Mining in Pattern Recognition Machine Learning and Data Mining in Pattern Recognition
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Advances in Data Mining. Applications and Theoretical Aspects Advances in Data Mining. Applications and Theoretical Aspects
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Machine Learning and Data Mining in Pattern Recognition Machine Learning and Data Mining in Pattern Recognition
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Machine Learning and Data Mining in Pattern Recognition Machine Learning and Data Mining in Pattern Recognition
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