 The massive databases that we are talking about are generally characterized by the presence of not just numeric, but also textual, symbolic, pictorial and aural data. They may contain redundancy, errors, imprecision, and so on. KDD is aimed at discovering...  Pattern Recognition Algorithms for Data Mining - Page 2by Sankar K. Pal, Pabitra Mitra - 2004 - 280 pagesLimited preview - About this book
 | Sankar K. Pal, Pal. Amita - 2001 - 644 pages
...paragraphs. Their relationship with the 17 discipline of pattern recognition will also be examined. The massive databases that we are talking about are...a significant role in KDD process. However, KDD is being visualized as not just being capable of knowledge discovery using generalizations and magnifications... | |
 | J. C. Misra - 2003 - 330 pages
...few paragraphs. Their relationship with the discipline of pattern recognition will also be examined. The massive databases that we are talking about are...a significant role in KDD process. However, KDD is being visualized as not just being capable of knowledge discovery using generalizations and magnifications... | |
 | Masahiro Inuiguchi, Shoji Hirano, Shusaku Tsumoto - 2003 - 330 pages
...few paragraphs. Their relationship with the discipline of pattern recognition will also be examined. The massive databases that we are talking about are...a significant role in KDD process. However, KDD is being visualized as not just being capable of knowledge discovery using generalizations and magnifications... | |
 | Ning Zhong, Jiming Liu - 2004 - 752 pages
...had thrown up some new phrases, for example, data mining and knowledge discovery in databases (KDD). The massive databases that we are talking about are...heterogeneous data. Therefore, PR plays a significant role in the KDD process. However, KDD is being perceived as being capable of not just knowledge discovery using... | |
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