A Comparative Study of Data Mining Techniques in Maintenance of Data warehouse
P. R. Vishwanath, D. Rajyalakshmi, M. Vishnuvardhan Reddy · 2013
Data warehouse plays a vital role in Decision support systems. As it needs to answer many complex queries, managerial level queries, requires advanced computing Techniques. Data mining is the process of extracting hidden useful information from huge data bases. Literature of Data Mining involving algorithms and techniques related to association, classification, clustering etc. Data warehouse deals with heterogeneous, huge amount of data and has to answer complex queries. Once Design Data warehouse is done then it need to concentrate on Data warehouse maintenance. Data warehouse requires advanced systems to increase the performance in addition to the existing system. The explicit-table approach, Materialized view (MV) approaches are to be added with latest techniques. Many methodologies for Optimization of calculating MV's and efficient calculating Data cubes are proposed. This paper explores the data mining techniques such as Association, clustering used for Data warehouse maintenance