Clustering is an essential data mining and tool for analyzing big data. There are difficulties
for applying clustering techniques to big data duo to new challenges that are raised with big …

Big data analysis requires the presence of large computing powers, which is not always
feasible. And so, it became necessary to develop new clustering algorithms capable of such …

Clustering algorithms have become one of the most critical research areas in multiple
domains, especially data mining. However, with the massive growth of big data applications …

Big Data is usually defined by three characteristics called 3Vs (Volume, Velocity and
Variety). It refers to data that are too large, dynamic and complex. In this context, data are …

Clustering algorithms have emerged as an alternative powerful meta-learning tool to
accurately analyze the massive volume of data generated by modern applications. In …

A Survey on Clustering Techniques for Big Data Mining Page 1 Indian Journal of Science and
Technology, Vol 9(3), DOI: 10.17485/ijst/2016/v9i3/75971, January 2016 ISSN (Print) …

With the beginning of new era data has grown rapidly not only in size but also in variety.
There is a difficulty in analyzing such big data. Data mining is the technique in which useful …

Across a wide variety of fields and especially for industrial companies, data are being
collected and accumulated at a dramatic pace from many different resources and services …

The monograph Data Clustering: Theory, Algorithms, and Applications was published in
2007. Starting with the common ground and knowledge for data clustering, the monograph …

Enterprises today are dealing with the massive size of data, which have been explosively
increasing. The key requirements to address this challenge are to extract, analyze, and …