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ESANN
2004
15 years 5 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
EMS
2008
IEEE
15 years 10 months ago
Rough Set Generating Prediction Rules for Stock Price Movement
This paper presents rough sets generating prediction rules scheme for stock price movement. The scheme was able to extract knowledge in the form of rules from daily stock movement...
Hameed Al-Qaheri, Shariffah Zamoon, Aboul Ella Has...
ANOR
2008
123views more  ANOR 2008»
15 years 4 months ago
An approach to predictive-reactive scheduling of parallel machines subject to disruptions
: In this paper, a new predictive-reactive approach to a parallel machine scheduling problem in the presence of uncertain disruptions is presented. The approach developed is based ...
Alejandra Duenas, Dobrila Petrovic
SDM
2007
SIAM
147views Data Mining» more  SDM 2007»
15 years 5 months ago
Constraint-Based Pattern Set Mining
Local pattern mining algorithms generate sets of patterns, which are typically not directly useful and have to be further processed before actual application or interpretation. Ra...
Luc De Raedt, Albrecht Zimmermann
AAAI
2006
15 years 5 months ago
Fast SAT-based Answer Set Solver
Recent research shows that SAT (propositional satisfiability) techniques can be employed to build efficient systems to compute answer sets for logic programs. ASSAT and CMODELS ar...
Zhijun Lin, Yuanlin Zhang, Hector Hernandez