Advances in Data Mining Knowledge : Discovery and Applications
Publication details: New York : New Rochelle, 2016. Description: 248 pISBN:- 9781682500194
- HA29.5 .F855
| Item type | Current library | Collection | Shelving location | Call number | Status | Date due | Barcode | Item holds |
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PIM Creative Learning Space Chaengwattana | หนังสือภาษาอังกฤษ | English Book Shelves | HA29.5 .F855 2016 (Browse shelf(Opens below)) | Available | 32550000400194 |
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| HA29 .L742S 2008 Statistical techniques in business & economics / | HA29 .L742S 2010 Statistical techniques in business & economics / | HA29 .L742S 2012 Statistical techniques in business & economics / | HA29.5 .F855 2016 Advances in Data Mining Knowledge : Discovery and Applications | HA31.35 .W283 2007 Applied statistics : from bivariate through multivariate techniques / | HA32 .F537 2012 Discovering statistics using R / | HA32 .G798 Using SPSS for Windows : analyzing and understanding data / |
"Data mining refers to the computational process of discovering patterns in big data sets. Data mining is an interdisciplinary subfield of computer science. It contains methods of the intersection of artificial intelligence, machine learning, statistics, and database systems. The objective of Advances in Data Mining Knowledge Discovery and Applications is to assist data miners, researchers, scholars, and PhD students who requires to apply data mining techniques. The primary objective of this book is highlighting frontier fields and applications of the knowledge discovery and data mining."
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