Ironically the information on Datamining itself is mind boggling. The field is still in its infancy still most of the research and related literature. The objective of the final paper is to consolidate the research and various projects in the area of Data Mining globally, study various techniques used, emphasizing the application of Neural Networks. Data mining is the data-driven extraction of information from large databases. It is the process of automated presentation of patterns, rules or functions to a knowledgeable user for review and examination.
Data mining is a useful tool, a new approach which combines discovery with analysis.
Data mining is not a newly discovered branch of mathematics embodied in software that will, when hooked-up to a large and problematical database, inexplicably and inevitably reveal the business insights contained in the millions of records stored therein. Yet still it is important. It is an area that will increasingly become mandatory for competitive businesses. This clearly explains the capabilities and shortcommings of the this relatively new concept. In Very large data bases the number of possible relationships is very large, thus prohibiting the search for the correct ones by simple validating each of them.