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Data mining is the process of extracting valuable knowledge from complex data. This knowledge is implicit, unknown in advance, and a credible and potentially useful model. Viable in-depth analysis around data sets is becoming more and more important for decision-making in almost all areas of society: business and industry, science and engineering, medicine and biotechnology, government and individuals. The successful application of data mining in customer acquisition and retention, cross-selling, trend analysis and market prediction, fraud detection and risk prevention is encouraging.

Produktbeschreibung
Data mining is the process of extracting valuable knowledge from complex data. This knowledge is implicit, unknown in advance, and a credible and potentially useful model. Viable in-depth analysis around data sets is becoming more and more important for decision-making in almost all areas of society: business and industry, science and engineering, medicine and biotechnology, government and individuals. The successful application of data mining in customer acquisition and retention, cross-selling, trend analysis and market prediction, fraud detection and risk prevention is encouraging.
Autorenporträt
Jian-Hong Sun received the master's degree in computer in-formation system program from the Assumption University, Thailand, in 2009. He is currently a lecturer in the Engineering College, Honghe university, China. His current research interests include bioin-formatics, data mining and big data analytics.