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PAKDD
1999
ACM
113views Data Mining» more  PAKDD 1999»
15 years 4 months ago
Characterization of Default Knowledge in Ripple Down Rules Method
Abstract. \Ripple Down Rules (RDR)" Method is one of the promising approaches to directly acquire and encode knowledge from human experts. It requires data to be supplied incr...
Takuya Wada, Tadashi Horiuchi, Hiroshi Motoda, Tak...
ESWA
2006
154views more  ESWA 2006»
14 years 11 months ago
Artificial neural networks with evolutionary instance selection for financial forecasting
In this paper, I propose a genetic algorithm (GA) approach to instance selection in artificial neural networks (ANNs) for financial data mining. ANN has preeminent learning abilit...
Kyoung-jae Kim
CINQ
2004
Springer
125views Database» more  CINQ 2004»
15 years 5 months ago
The Hows, Whys, and Whens of Constraints in Itemset and Rule Discovery
Many researchers in our community (this author included) regularly emphasize the role constraints play in improving performance of data-mining algorithms. This emphasis has led to ...
Roberto J. Bayardo
KDD
2009
ACM
180views Data Mining» more  KDD 2009»
16 years 11 days ago
Mining social networks for personalized email prioritization
Email is one of the most prevalent communication tools today, and solving the email overload problem is pressingly urgent. A good way to alleviate email overload is to automatical...
Shinjae Yoo, Yiming Yang, Frank Lin, Il-Chul Moon
CNSR
2004
IEEE
180views Communications» more  CNSR 2004»
15 years 3 months ago
The Reconstruction of User Sessions from a Server Log Using Improved Time-Oriented Heuristics
Web usage mining plays an important role in the personalization of Web services, adaptation of Web sites, and the improvement of Web server performance. It applies data mining tec...
Jie Zhang, Ali A. Ghorbani