Advances in Data Mining. Applications and Theoretical Aspects, 1st ed. 2017 17th Industrial Conference, ICDM 2017, New York, NY, USA, July 12-13, 2017, Proceedings Lecture Notes in Artificial Intelligence Series
Langue : Anglais
Coordonnateur : Perner Petra
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.
Theoretical aspects of data mining.- Applications of data mining.- Multimedia data, in marketing, in medicine.- Process control in industry and society.
Includes supplementary material: sn.pub/extras
Date de parution : 07-2017
Ouvrage de 346 p.
15.5x23.5 cm
Thème d’Advances in Data Mining. Applications and Theoretical... :
Mots-clés :
big data; business process modeling; cloud computing; machine learning; social media; bioinformatics; classification; cloud security; clustering; data mining; fault detection; feature selection; fuzzy rules; logic programming; naive bayes; parallel algorithms; privacy; process mining; SVM; text mining
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