Stochastic Modeling for Distributed Data Mining - Manikandan Mani,Deneshkumar Venugopal,Senthamarai Kannan Kaliyaperumal
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Toimitus 12-18 arkipäivässä
30 päivän palautusoikeus
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 ... Täydellinen kuvaus
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Kuvaus
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.
Lisätietoja
| Kirjoittaja | Manikandan Mani, Deneshkumar Venugopal, Senthamarai Kannan Kaliyaperumal |
|---|---|
| Julkaisija | LAP LAMBERT Academic Publishing |
| Julkaisuvuosi | 2015 |
| Kannen tyyppi | Pehmeäkantinen |
| EAN | 9783659750298 |