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KBS
2006
79views more  KBS 2006»
13 years 8 months ago
Using multiple and negative target rules to make classifiers more understandable
One major goal for data mining is to understand data. Rule based methods are better than other methods in making mining results comprehensible. However, the current rule based cla...
Jiuyong Li, Jason Jones
KBS
2000
59views more  KBS 2000»
13 years 8 months ago
Hands-on representations in a two-dimensional space for early stages of design
In design, problem analysis is as important as solution synthesis. Strategic knowledge is required not only for constructing a solution but also for framing a problem. While exter...
Yasuhiro Yamamoto, Kumiyo Nakakoji, Shingo Takada
KBS
2002
136views more  KBS 2002»
13 years 8 months ago
Diagnostic reasoning based on means-end models: experiences and future prospects
Multilevel Flow Models (MFM) are graphical models of goals and functions of technical systems. MFM was invented by Morten Lind at the Technical University of Denmark and several n...
Jan Eric Larsson
KBS
2002
88views more  KBS 2002»
13 years 8 months ago
Mining the optimal class association rule set
We define an optimal class association rule set to be the minimum rule set with the same predictive power of the complete class association rule set. Using this rule set instead o...
Jiuyong Li, Hong Shen, Rodney W. Topor
KBS
2002
106views more  KBS 2002»
13 years 8 months ago
Hybrid decision tree
In this paper, a hybrid learning approach named HDT is proposed. HDT simulates human reasoning by using symbolic learning to do qualitative analysis and using neural learning to d...
Zhi-Hua Zhou, Zhaoqian Chen