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» Using Rough Sets as Tools for Knowledge Discovery
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EUSFLAT
2009
163views Fuzzy Logic» more  EUSFLAT 2009»
14 years 7 months ago
A Fuzzy Set Approach to Ecological Knowledge Discovery
Besides the problem of searching for effective methods for extracting knowledge from large databases (KDD) there are some additional problems with handling ecological data, namely ...
Arkadiusz Salski
ILP
1999
Springer
15 years 2 months ago
Rule Evaluation Measures: A Unifying View
Numerous measures are used for performance evaluation in machine learning. In predictive knowledge discovery, the most frequently used measure is classification accuracy. With new...
Nada Lavrac, Peter A. Flach, Blaz Zupan
KDD
1995
ACM
108views Data Mining» more  KDD 1995»
15 years 1 months ago
A Statistical Perspective On Knowledge Discovery In Databases
The quest to nd models usefully characterizing data is a process central to the scienti c method, and has been carried out on many fronts. Researchers from an expanding number of ...
John F. Elder IV, Daryl Pregibon
WEBI
2007
Springer
15 years 4 months ago
Knowledge Retrieval (KR)
With the ever-increasing growth of data and information, finding the right knowledge becomes a real challenge and an urgent task. Traditional data and information retrieval syste...
Yiyu Yao, Yi Zeng, Ning Zhong, Xiangji Huang
RSCTC
1993
Springer
161views Fuzzy Logic» more  RSCTC 1993»
15 years 2 months ago
Quantifying Uncertainty of Knowledge Discovered From Databases
This paper focuses on the application of rough set constructs to inductive learning from a database. A design guideline is suggested, which provides users the option to choose app...
Yang Xiang, S. K. Michael Wong, Nick Cercone