DETAILED LITERATURE SURVEY DATA MINING TECHNIQUES IN E-LEARNING

Abstract

This paper covers to provide a current snapshot of the existing state of investigate and
applications of Data Mining methods in e-learning. Few years ago, the data flow in teaching and
learning area was comparatively simple and the function of technology was restricted. However,
as we developed into a more incorporated world where technology has turned out to be an
essential part of the industry processes, the procedure of transport of data has become more
complicated. Today, one of the leading challenges that learning institutions facing is the shorttempered
expansion of educational information and to utilize this information to progress the
quality of management decisions. Data mining techniques are logical tools that can be utilized to
pull out important knowledge from huge data sets. This paper talks to purpose of data mining in
educational institutions to take out constructive information from the vast data sets and providing
logical tool to view and utilize this information for decision making developments by
considering real life paradigms and by applying different data mining technique in E Learning.
Distributed data mining is invented from the requirement of mining over decentralized data
sources. Data mining techniques linking in such complex surroundings must come across huge
dynamics due to amendment in the system can influence the overall presentation of the system.