Articoli correlati a Modern Technologies for Big Data Classification and...

Modern Technologies for Big Data Classification and Clustering - Rilegato

 
9781522528050: Modern Technologies for Big Data Classification and Clustering
Rilegato
ISBN 10: 1522528059 ISBN 13: 9781522528050
Casa editrice: Information Science Reference, 2017

Sinossi

Data has increased due to the growing use of web applications and communication devices. It is necessary to develop new techniques of managing data in order to ensure adequate usage. Modern Technologies for Big Data Classification and Clustering is an essential reference source for the latest scholarly research on handling large data sets with conventional data mining and provide information about the new technologies developed for the management of large data. Featuring coverage on a broad range of topics such as text and web data analytics, risk analysis, and opinion mining, this publication is ideally designed for professionals, researchers, and students seeking current research on various concepts of big data analytics.

Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.

Dalla quarta di copertina

Data has increased due to the growing use of web applications and communication devices. It is necessary to develop new techniques of managing data in order to ensure adequate usage. Modern Technologies for Big Data Classification and Clustering is an essential reference source for the latest scholarly research on handling large data sets with conventional data mining and provide information about the new technologies developed for the management of large data. Featuring coverage on a broad range of topics such as text and web data analytics, risk analysis, and opinion mining, this publication is ideally designed for professionals, researchers, and students seeking current research on various concepts of big data analytics.

Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.

Editore
Information Science Reference
Data di pubblicazione
2017
Lingua
Inglese
ISBN 10 
1522528059
ISBN 13 
9781522528050
Rilegatura
Copertina rigida
Numero di pagine
388
Redattore
Seetha Hari, Murty M. Narasimha, Tripathy B. K.
Contatto del produttore
non disponibile
Persona responsabile
non disponibile