![]() Customer relationship management: identify those who are likely to leave for a competitor.Banking: loan/credit card approval based on prediction of good customers based on old customers.Following are the use cases or applications of data mining.įollowing are the applications or use cases of data mining in different fields: The major data mining tools include SPSS Clementine and Intelligent Miner by IBM, MineSet by SGI, Enterprise Miner by To provide data analytics in different forms. Many companies are developing software tools across the world This refers to extracting data of our interest from huge amount ofĭata available in data base or data warehouse.ĭata mining uses search algorithms, tools and techniques in order to provide excellent user as well as searching specific pattern or query on Large amount of databases of amazon or flipkart etc. The examples include searching mobile phones with specific specifications or pricing from ![]() ![]() ![]() It can be resembled to gold mines where in extraction of gold from sand, stones and dust from the deep mines is The data mining tutorial also mentions links to other resources on data mining including tools and techniques etc.ĭata Mining is the term which refers to extracting knowledge from large amount of data. This Data Mining tutorial covers data mining basics including data mining architecture working, companies, applications or use cases, advantages or benefits etc. Data Mining tutorial | Data Mining Basics ![]()
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