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

Advances in Data Mining. Applications and Theoretical Aspects

18th Industrial Conference, ICDM 2018, New York, NY, USA, July 11-12, 2018, Proceedings

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    • ‏39٫99 US$

وصف الناشر

This volume constitutes the proceedings of the 18th Industrial Conference on Adances in Data Mining, ICDM 2018, held in New York, NY, USA, in July 2018.
The 24 regular papers presented in this book were carefully reviewed and selected from 146 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.

النوع
كمبيوتر وإنترنت
تاريخ النشر
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٤ يوليو
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.‬
Big Data Analytics and Knowledge Discovery Big Data Analytics and Knowledge Discovery
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Big Data Analytics and Knowledge Discovery Big Data Analytics and Knowledge Discovery
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Database and Expert Systems Applications Database and Expert Systems Applications
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Database and Expert Systems Applications Database and Expert Systems Applications
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Database and Expert Systems Applications Database and Expert Systems Applications
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Big Data Analytics and Knowledge Discovery Big Data Analytics and Knowledge Discovery
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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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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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