Big Data means a very large amount of data and includes a range of methodologies such as
big data collection, processing, storage, management, and analysis. Since Big Data Text …

After incensing the amount of text information on internet web pages, the dealing with this
information is very complex due to the volume of information. Text clustering technique is an …

The increasing amount of text documents in digital forms affect the text analysis techniques.
Text clustering (TC) is one of the important techniques used for showing a massive amount …

This paper proposes three feature selection algorithms with feature weight scheme and
dynamic dimension reduction for the text document clustering problem. Text document …

The large amount of text information on the Internet and in modern applications makes
dealing with this volume of information complicated. The text clustering technique is an …

The text clustering technique is an appropriate method used to partition a huge amount of
text documents into groups. The documents size affects the text clustering by decreasing its …

Nowadays a vast amount of textual information is collected and stored in various databases
around the world, including the Internet as the largest database of all. This rapidly increasing …

In this paper, we discuss a text categorization method based on k-means clustering feature
selection. K-means is classical algorithm for data clustering in text mining, but it is seldom …

Text mining is to research technologies to discover useful knowledge from enormous
collections of documents, and to develop a system to provide knowledge and to support in …

Now-a-days growth of data is so fast that we have been put in a situation to handle
voluminous amounts of data. To make use of the data for retrieving some valuable …