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» Application of Fuzzy Rule Induction to Data Mining
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BTW
1999
Springer
145views Database» more  BTW 1999»
13 years 11 months ago
A Multi-Tier Architecture for High-Performance Data Mining
Data mining has been recognised as an essential element of decision support, which has increasingly become a focus of the database industry. Like all computationally expensive data...
Ralf Rantzau, Holger Schwarz
KDD
1995
ACM
227views Data Mining» more  KDD 1995»
13 years 11 months ago
Applying a Data Miner To Heterogeneous Schema Integration
Anapplication of data miningtechniques to heterogeneous database schemaintegration is introduced. We use attribute-oriented induction to minefor characteristic and classification ...
Son Dao, Brad Perry
ICCBR
2001
Springer
13 years 12 months ago
A Fuzzy-Rough Approach for Case Base Maintenance
Abstract. This paper proposes a fuzzy-rough method of maintaining CaseBased Reasoning (CBR) systems. The methodology is mainly based on the idea that a large case library can be tr...
Guoqing Cao, Simon C. K. Shiu, Xizhao Wang
ESANN
2004
13 years 9 months ago
Neural networks for data mining: constrains and open problems
When we talk about using neural networks for data mining we have in mind the original data mining scope and challenge. How did neural networks meet this challenge? Can we run neura...
Razvan Andonie, Boris Kovalerchuk
HICSS
2007
IEEE
176views Biometrics» more  HICSS 2007»
14 years 1 months ago
Mining Fuzzy Weighted Association Rules
The paper combines and extends the technologies of fuzzy sets and association rules, considering users’ differential emphasis on each attribute through fuzzy regions. A fuzzy da...
David L. Olson, Yanhong Li