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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 se licenció en Informática por la Universidad de la Asunción (Tailandia) en 2009. Actualmente es profesor asociado en la Facultad de Ingeniería de la Universidad de Honghe (China). Sus intereses de investigación actuales incluyen la bioinformática, la minería de datos y el análisis de macrodatos.