Book Details

978-1-84628-183-9

Advanced Techniques in Knowledge Discovery and Data Mining

Publication year: 2005

ISBN: 978-1-84628-183-9

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This explosion is a result of the growing use of electronic media. But what is data mining (DM)? A Web search using the Google search engine retrieves many (really many) definitions of data mining. We include here a few interesting ones. One of the simpler definitions is: “As the term suggests, data mining is the analysis of data to establish relationships and identify patterns” [1]. It focuses on identifying relations in data. Our next example is more elaborate: An information extraction activity whose goal is to discover hidden facts contained in databases. Using a combination of machine learning, statistical analysis, modeling techniques and database technology, data mining finds patterns and subtle relationships in data and infers rules that allow the prediction of future results. Typical applications include market segmentation, customer profiling, fraud detection, evaluation of retail promotions, and credit risk analysis .


Subject: Computer Science, Bayesian network, Internet, algorithms, architecture, calculus, classification, clustering, data mining, database, databases, evolution, evolutionary algorithm, knowledge discovery, networks, visualization