Improving data processing in big data is a delicate procedure in our current digital era due to
the massive amounts of data created by humans and machines in daily life. Handling this …

In this article, we have presented the effective handling of big data using adaptive clustering
and optimization techniques. Initially, heterogeneous data is collected from multiple sources …

Clustering large data is a recent and popular challenge that is used in various applications,
including social networking, bioinformatics, and many others. In order to manage the rapidly …

Data is one of the most important and vital aspect of different activities in today's world.
Therefore vast amount of data is generated in each and every second. A rapid growth of …

We are living in twenty-first century, and this century means for its faster work, accurate
analysis, highly processed data, and speed. This is the epoch of “Big data.” Big data is a …

As the world is getting digitized the speed in which the amount of data is over owing from
different sources in different format, it is not possible for the traditional system to compute …

Data clustering algorithm has been receiving considerable attention in many application
areas such as data mining, document retrieval, image processing and pattern classification …

As we are going through the era of big data where the size of the data is increasing very
rapidly resulting into the failure of traditional clustering methods on such a massive data …

The rapid advances in the field of information and communication technology has made the
ubiquitous type of computing along with the internet of things extremely popular. Such …

Today's age is the age of data, where a huge amount of data is being generated world-wide.
This huge volume of data, called 'big data', has no meaning until the proper information is …