Rough sets and data mining
analysis for imprecise data
by T. Y. Lin and Nick Cercone
Rough Sets and Data Mining: Analysis of Imprecise Data is an edited collection of research chapters on the most recent developments in rough set theory and data mining. The chapters in this work cover a range of topics that focus on discovering dependencies among data, and reasoning about vague, uncertain and imprecise information. The authors of these chapters have been careful to include fundamental research with explanations as well as coverage of rough set tools can be used for mining data bases.
Rough Sets and Data Mining: Analysis of Imprecise Data will be a useful reference work for rough set researchers, data base designers and developers, and for researchers new to the areas of data mining and rough sets.
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1
Rough sets and data mining: analysis for imprecise data
1997, Kluwer Academic
in English
0792398076 9780792398073
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Rough Sets and Data Mining: Analysis of Imprecise Data
November 30, 1996, Springer
Hardcover
in English
- 1 edition
0792398076 9780792398073
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- Created April 1, 2008
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| July 31, 2019 | Edited by MARC Bot | associate edition with work OL18279918W |
| July 30, 2010 | Edited by IdentifierBot | added LibraryThing ID |
| April 15, 2010 | Edited by bgimpertBot | Added goodreads ID. |
| April 14, 2010 | Edited by Open Library Bot | Linked existing covers to the edition. |
| April 1, 2008 | Created by an anonymous user | Imported from Scriblio MARC record |