Data mining is a method for knowledge discovery from a dataset. The world today is moving
toward data-driven in all ramifications, ranging from education, health care, security …

There is an explosion in the data generation from multiple sources such as social media,
business enterprises, and sensors. We need to analyze such vast amounts of data, termed …

ABSTRACT BIG DATA [1] is a term for data sets that are so large or complex that traditional
data processing [4] applications are inadequate. Accuracy in big data may lead to more …

Clustering in big data considers a critical data mining and analysis technique. There are
problems with adapting clustering algorithms to large amounts of data, along with new …

Clustering as an unsupervised machine learning technique has appeared as a great
learning method to examine correctly the huge volume of dataset produced by today's …

The need to understand large, complex, information-rich data sets is common to all fields of
studies in this current information age. Given this tremendous amount of data, efficient and …

Clustering is an unsupervised artificial intelligence methodology that has emerged as a
good learning tool for evaluating the massive amounts of datasets made available by today's …

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 …

In big data, clustering is the process through which analysis is performed. Since the data is
big, it is very difficult to perform clustering approach. Big data is mainly termed as petabytes …