New Learning Models for Generating Classification Rules Based on Rough Set Approach
Data sets, static or dynamic, are very important and useful for presenting real life features in different aspects of industry, medicine, economy, and others. Recently, different models were used to generate knowledge from vague and uncertain data sets such as induction decision tree, neural netw...
| मुख्य लेखक: | Al Shalabi, Luai Abdel Lateef |
|---|---|
| स्वरूप: | थीसिस |
| भाषा: | अंग्रेज़ी अंग्रेज़ी |
| प्रकाशित: |
2000
|
| विषय: | |
| ऑनलाइन पहुंच: | http://psasir.upm.edu.my/id/eprint/9646/1/FSKTM_2000_2_IR.pdf |
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समान संसाधन
-
Generation of rough set (RS) significant reducts and rules for cardiac dataset classification
द्वारा: Sulaiman, Noor Suhana
प्रकाशित: (2007) -
Rule-Based system for skin type Self-Assessment
(RBSA) / Norfida Abu Bakar
द्वारा: Norfida, Abu Bakar
प्रकाशित: (2010) -
Rough Set Rules Extraction for Student Programming Skills
द्वारा: Kerwad, Mokhtar Massoud
प्रकाशित: (2006) -
Soil-Landscape Relationships in Kedah - A Study in Soil Genesis and Classification
द्वारा: Lim, Jit Sai
प्रकाशित: (1991) -
Automated plant classification system using a hybrid of shape and color features of the leaf
द्वारा: Hamid, Laith Emad
प्रकाशित: (2016)