Big Data Analytics in Data Mining – A Review

Abstract

The Age of Big Data are already running because the traditional data analytics may not be able to handle such large quantities of data. Big data refers to datasets that are not only big, but also high in variety and velocity, which makes them difficult to handle using traditional tools and techniques. Due to the rapid growth of such data, solutions need to be studied and provided in order to handle the extract value and knowledge from these data sets. Furthermore, decision makers need to be able to gain valuable insights from such varied and rapidly changing data, ranging from daily transactions to customer interactions and social network data. Such value can be provided using big data analytics, which is the application of advanced analytics techniques on big data. This paper presents brief introduction of data analytics, architecture of big data, knowledge discovery and big data algorithms.