Big Data clustering has become an important challenge in data analysis since several
applications require scalable clustering methods to organize such data into groups of similar …

The hospitality industry is one of the data-rich industries that receives huge Volumes of data
streaming at high Velocity with considerably Variety, Veracity, and Variability. These …

Clustering as a formal, systematic subject in dissertations can be considered the most
influential unsupervised learning problem; so, as every other problem of this kind, it deals …

In a big data perspective, a huge dataset was generated in real time with heterogeneous
nature. Big data mining is a significant idea for extracting knowledge and hidden patterns …

Clustering is widely studied in data mining community. It is used to partition data set into
clusters so that intra-cluster data are similar and inter-cluster data are dissimilar. Different …

Technological advancement has enabled us to store and process huge amount of data in
relatively short spans of time. The nature of data is rapidly changing, particularly its …

Data clustering is a major research area having diverse applications in certain fields, which
involves recognition of patterns, machine learning, and mining massive datasets. Also, it is a …

The main purpose of any data mining process is to perform extraction of relevant information
from a large data set and transform it into a suitable pattern for further analysis. Clustering is …

Clustering is widely studied in data mining community. It is used to partition data set into
clusters so that intra-cluster data are similar and inter-cluster data are dissimilar. Different …

In data mining Clustering is a technique that's aims to single out the data elements into
different clusters based on useful features. In this technique data elements that are similar to …