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INCDM
2010
Springer
208views Data Mining» more  INCDM 2010»
13 years 10 months ago
Combining Unsupervised and Supervised Data Mining Techniques for Conducting Customer Portfolio Analysis
Abstract. Leveraging the power of increasing amounts of data to analyze customer base for attracting and retaining the most valuable customers is a major problem facing companies i...
Zhiyuan Yao, Annika H. Holmbom, Tomas Eklund, Barb...
IJCAI
2001
13 years 10 months ago
Neural Logic Network Learning using Genetic Programming
Neural Logic Network or Neulonet is a hybrid of neural network expert systems. Its strength lies in its ability to learn and to represent human logic in decision making using comp...
Chew Lim Tan, Henry Wai Kit Chia
JAR
2010
160views more  JAR 2010»
13 years 7 months ago
MetiTarski: An Automatic Theorem Prover for Real-Valued Special Functions
Many theorems involving special functions such as ln, exp and sin can be proved automatically by MetiTarski: a resolution theorem prover modified to call a decision procedure for ...
Behzad Akbarpour, Lawrence C. Paulson
IEAAIE
2004
Springer
14 years 2 months ago
Knowledge Representation on Design of Storm Drainage System
During the design of storm drainage system, many decisions are involved on the basis of rules of thumb, heuristics, judgment, code of practice and previous experience of the design...
Kwok-wing Chau, C. S. Cheung
AIPS
2006
13 years 10 months ago
Combining Stochastic Task Models with Reinforcement Learning for Dynamic Scheduling
We view dynamic scheduling as a sequential decision problem. Firstly, we introduce a generalized planning operator, the stochastic task model (STM), which predicts the effects of ...
Malcolm J. A. Strens