Stochastic Modeling for Distributed Data Mining - Manikandan Mani,Deneshkumar Venugopal,Senthamarai Kannan Kaliyaperumal
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Piegāde 12-18 darba dienu laikā
30 dienu atgriešanas politika
Data mining and knowledge discovery are powerful data analysis tools for the task of critical applications to minimize, filter, extract or transform large databases or data sets into summarized information and exploring hidden patterns in Knowledge Discovery Database (KDD). Data mining has been applied in several fields such as biological, medicine, industrial, business, economic, e-commerce, security, terr ... Pilns apraksts
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Aprašymas
Data mining and knowledge discovery are powerful data analysis tools for the task of critical applications to minimize, filter, extract or transform large databases or data sets into summarized information and exploring hidden patterns in Knowledge Discovery Database (KDD). Data mining has been applied in several fields such as biological, medicine, industrial, business, economic, e-commerce, security, terrorism and other fields. It provides a means of extracting previously unknown, predictive information from the base of accessible data in data warehouses. It also uses sophisticated and automated algorithms to discover hidden patterns, correlations and relationships among organizational data.
Vairāk informācijas
| Autors | Manikandan Mani, Deneshkumar Venugopal, Senthamarai Kannan Kaliyaperumal |
|---|---|
| Izdevējs | LAP LAMBERT Academic Publishing |
| Izlaides gads | 2015 |
| Vāka tips | Mīkstais vāks |
| EAN | 9783659750298 |