DATA WAREHOUSING AND DATA MINING 25th May, 2009 – 6th June, 2009

DATA WAREHOUSING
AND
DATA MINING
25th May, 2009 – 6th June, 2009

SDP on Data Warehousing and Data Mining
Department of Computer Applications
National Institute of Technology
Tiruchirappalli – 15.
Phone: 9486001177/ 9442601978/9443781597
Fax: 0431 – 2500133
Email: ramjeevan@nitt.edu
sangeetha@nitt.edu
reddy@nitt.edu

PREAMBLE

Data warehousing and data mining is one of the most advanced fields of computer science which involves use of Mathematics, Statistics, Information Technology and information Sciences in discovering new information and knowledge from large databases It is a new emerging interdisciplinary area of research and development which has created interest among scientists of various disciplines like computer science, mathematics, statistics, information technology etc. It has also been incorporated in the curriculum of B.Tech., M.Tech., MCA and PhD Courses in the areas of computer science, Information Technology, Bio Informatics etc. One of the problems that the country is facing is lack of trained man power in this area. Also the faculty is teaching only theory of data warehousing and data mining in colleges and the practical aspect of the subject is missing. In view of this it is proposed to organize short term/refresher course on data warehousing and data mining at NIT, Tiruchirappalli to update the knowledge of the faculty. Thus this program will be highly relevant for technical education especially for participants from Computer Science, Information Technology and Computer Applications etc.. Further this program will be of great national interest, as it will provide a platform for sharing knowledge, expertise and resources, in the area of data warehousing and data mining.

COURSE CONTENT

The topics to be covered in the training program are Large Databases, Data Warehousing concepts tools & techniques, Data mining concepts, methods and techniques, Association rule mining, Clustering Fuzzy Modeling and neural networks, Classification and web mining.