Data Mining Technology
AbstractIn terms of data processing, classical statistical models are restrictive; it requires hypotheses, the knowledge and experience of specialists, equations, effective knowledge of probabilities distribution and the data must have a high quality, being subject to prior processing and transformations. Because of these disadvantages the concept of data mining has emerged, implementing knowledge extraction algorithms from the large data collections. Data mining is a process consisting in collecting knowledge from databases or data warehouses and the information collected that had never been known before, it is valid and operational. Nowadays data mining is a modern and powerful IT&C tool, automatizing the process of discovering relationships and combinations in raw data and using the results in an automatic decision support.
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Bibliographic InfoArticle provided by Romanian-American University in its journal Journal of Information Systems and Operations Management.
Volume (Year): 5 (2011)
Issue (Month): 2 (December)
data mining; data warehouse; knowledge discovery; OLAP; OLAM;
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