Advances in Data Mining and Database Management
1 total work
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.
Topics Covered:
The many academic areas covered in this publication include, but are not limited to:
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.
Topics Covered:
The many academic areas covered in this publication include, but are not limited to:
- Data visualization
- Distributed Computing Systems
- Opinion Mining
- Privacy and security
- Risk analysis
- Social Network Analysis
- Text Data Analytics
- Web Data Analytics