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Könyv Rough Sets and Data Mining T.Y. Lin

Rough Sets and Data Mining

Analysis of Imprecise Data

Szerző: T.Y. Lin, N. Cercone
Nyelv: Angol
Kötés: Kemény kötésű
Kiadó: Springer
Elérhetőség: Beszállítói készleten
Küldés 10-13 napon belül
57 749 Ft
Rough Sets and Data Mining: Analysis of Imprecise Data is an edited collection of research chapters...

Információk a könyvről

Szerző
T.Y. Lin, N. Cercone
Nyelv
Angol
Kötés
Könyv - Kemény kötésű
Kiadva
1996
oldal
436
EAN
9780792398073
ISBN
0792398076
Enbook ID
01398469
Kiadó
Springer
Súly
1780
Méretek
156 x 234 x 29

Teljes leírás

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 that can be used for mining data bases. The contributing authors consist of some of the leading scholars in the fields of rough sets, data mining, machine learning and other areas of artificial intelligence. Among the list of contributors are Z. Pawlak, J Grzymala-Busse, K. Slowinski, and others. 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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