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With the enormous amount of data stored in files, databases and other repositories, it is progressively more important, if not essential, to develop powerful means for analysis and perhaps interpretation of such data for the extraction of interesting knowledge that could help in decision making.Data Mining, also commonly recognized as Knowledge Discovery in Databases (KDD), refers to the nontrivial extraction of implicit, previously unidentified and potentially useful information from data in databases. Data mining and KDD are often treated as synonyms but data mining is in fact part of the KDD process.…mehr

Produktbeschreibung
With the enormous amount of data stored in files, databases and other repositories, it is progressively more important, if not essential, to develop powerful means for analysis and perhaps interpretation of such data for the extraction of interesting knowledge that could help in decision making.Data Mining, also commonly recognized as Knowledge Discovery in Databases (KDD), refers to the nontrivial extraction of implicit, previously unidentified and potentially useful information from data in databases. Data mining and KDD are often treated as synonyms but data mining is in fact part of the KDD process.
Autorenporträt
Dr. J. Vellingiri completed his Ph.D (Computer Science and Engineering) in Anna University, Chennai in the year 2012. He is having more than 13 years of academic experience. Presently he is working as an Assistant Professor (Senior) in the School of Information Technology and Engineering, Vellore Institute of Technology, Vellore Campus.