Clustering Methods for Big Data Analytics

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160,49 

Techniques, Toolboxes and Applications, Unsupervised and Semi-Supervised Learning

ISBN: 3319978632
ISBN 13: 9783319978635
Herausgeber: Olfa Nasraoui/Chiheb-Eddine Ben N’Cir
Verlag: Springer Verlag GmbH
Umfang: ix, 187 S., 32 s/w Illustr., 31 farbige Illustr., 187 p. 63 illus., 31 illus. in color.
Erscheinungsdatum: 08.11.2018
Auflage: 1/2019
Produktform: Gebunden/Hardback
Einband: Gebunden
Artikelnummer: 5292294 Kategorie:

Beschreibung

Autorenporträt

Olfa Nasraoui is the endowed Chair of e-commerce and the founding director of the Knowledge Discovery & Web Mining Lab at the University of Louisville, where she is also Professor in Computer Engineering & Computer Science. She received her Ph.D in Computer Engineering and Computer Science from the University of Missouri-Columbia in 1999. Her research interests are machine learning algorithms and systems with an emphasis on clustering algorithms, web mining, and recommender systems. She is the recipient of a National Science Foundation CAREER Award and a Best Paper Award for theoretical contributions In computational intelligence at the ANNIE conference. Chiheb Eddine Ben Ncir received his Ph.D in Computer Science and Management from Higher Institute of Management, University of Tunis, in 2014. Currently, he is an Assistant Professor at the Higher School of Digital Economy (University of Manouba) since 2015 and member of LARODEC laboratory (University of Tunis). He is also a Big Data and Business Intelligence instructor at IBM North Africa and Middle East. His research interests concern unsupervised learning methods and data mining tools with a special emphasis on Big Data clustering, disjoint and non-disjoint partitioning, kernel methods, as well as many other related fields.

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