Produktbild: Clustering Methods for Big Data Analytics

Clustering Methods for Big Data Analytics Techniques, Toolboxes and Applications

145,99 €

inkl. gesetzl. MwSt., Versandkostenfrei


Beschreibung

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

08.11.2018

Abbildungen

IX, 187 p. 63 illus., 31 illus. in color.

Herausgeber

Olfa Nasraoui + weitere

Verlag

Springer

Seitenzahl

187

Maße (L/B/H)

24,1/16/1,7 cm

Gewicht

471 g

Sprache

Englisch

ISBN

978-3-319-97863-5

Beschreibung

Portrait

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 N’cir  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.

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

08.11.2018

Abbildungen

IX, 187 p. 63 illus., 31 illus. in color.

Herausgeber

Verlag

Springer

Seitenzahl

187

Maße (L/B/H)

24,1/16/1,7 cm

Gewicht

471 g

Sprache

Englisch

ISBN

978-3-319-97863-5

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: ProductSafety@springernature.com

Noch keine Bewertungen vorhanden

Verfassen Sie die erste Bewertung zu diesem Artikel

Helfen Sie anderen Kundinnen und Kunden durch Ihre Meinung.

Kundinnen und Kunden meinen

Bewertungen (0)

  • Produktbild: Clustering Methods for Big Data Analytics
  • Introduction.- Clustering large scale data.- Clustering heterogeneous data.- Distributed clustering methods.- Clustering structured and unstructured data.- Clustering and unsupervised learning for deep learning.- Deep learning methods for clustering.- Clustering high speed cloud, grid, and streaming data.- Extension of partitioning, model based, density based, grid based, fuzzy and evolutionary clustering methods for big data analysis.- Large documents and textual data clustering.- Applications of big data clustering methods.- Clustering multimedia and multi-structured data.- Large-scale recommendation systems and social media systems.- Clustering multimedia and multi-structured data.- Real life applications of big data clustering.- Validation measures for big data clustering methods.- Conclusion.