Stochastic Modeling for Distributed Data Mining

Data mining and knowledge discovery are powerful data analysis tools for the task of critical applications to minimize, filter, extract or transform large databases or data sets into summarized information and exploring hidden patterns in Knowledge Discovery Database (KDD). Data mining has been applied in several fields such as biological, medicine, industrial, business, economic, e-commerce, security, terrorism and other fields. It provides a means of extracting previously unknown, predictive information from the base of accessible data in data warehouses. It also uses sophisticated and automated algorithms to discover hidden patterns, correlations and relationships among organizational data.

Autorentext

Dr. Manikandan M is presently working as a Assistant Professor cum Statistician in the Department of Community Medicine, Pondicherry Institute of Medical Sciences, Puducherry. He has done his post graduate degree in Statistics, Annamalai University, Annamalai Nagar, Chidambaram and Ph.D., degree in Manonmaniam Sundaranar University, Tirunelveli.