Modern Technologies for Big Data Classification and Clustering
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| Title: | Modern Technologies for Big Data Classification and Clustering |
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| Description: | 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. |
| Authors: | Hari Seetha, M. Narasimha Murty, B. K. Tripathy |
| Resource Type: | eBook. |
| Subjects: | Document clustering, Big data, Data mining, Classification--Nonbook materials, Cluster analysis |
| Categories: | COMPUTERS / Data Science / Data Analytics, COMPUTERS / Data Science / General, COMPUTERS / Database Administration & Management |
| Database: | eBook Collection (EBSCOhost) |
| Abstract: | 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. |
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| ISBN: | 9781522528050 9781522528067 9781522528074 |
