A COMPREHENSIVE SURVEY ON DATA MINING

Abstract

Now a day’s internet is a significant place for interchanging of data like text, images, audio, and video and for share-out information preferably in digital form. The usage of internet leads to accessing the immense amount of data. Data may be unstructured data, structure data, and semi-structured data. So we are storing and processing such vast amount of data having gigantic complexity. Researchers from the University of Berkeley estimate that every year about one Exabyte (= 1 Million Terabyte) of data brought forth, of which a large portion is in digital form. For ex., 100 hours of videos are uploaded on YouTube every minute (statistics from YouTube). The query is how to analyze such ample data effectively and efficiently? Answer is data mining. Data mining pertains to the process of analyzing, studying such declamatory quantity of data for witnessing useful patterns and knowledge. Today we have accumulation of large amount of data but deficiency of knowledge. In this paper our focusing on surveillance of a nimble arising field data mining which is also known as knowledge discovery from data (KDD). We are constituting fundamentals of data mining, also several strategies for analyzing data like classification, estimation, prediction, association rules, clustering etc., data mining process, its types like web, content and structure mining. After understating basics, we are presenting the different data mining models like decision tree, neural network with their bedrocks. Also presents real world applications and future scope of the dynamic and extraordinary discipline.