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Volumn 44, Issue 2-3, 2013, Pages 173-183

Prediction based on integration of decisional dna and a feature selection algorithm relief-F

Author keywords

data mining; decisional DNA (DDNA); prediction analysis; RELIEF F; set of experience knowledge structure

Indexed keywords

DECISIONAL DNA; FEATURE SELECTION ALGORITHM; LEARNING FROM EXPERIENCES; NOISY AND INCOMPLETE DATUM; PREDICTION-BASED; QUALITY OF PREDICTIONS; RELIEF-F; SET OF EXPERIENCE KNOWLEDGE STRUCTURE;

EID: 84875509737     PISSN: 01969722     EISSN: 10876553     Source Type: Journal    
DOI: 10.1080/01969722.2013.762246     Document Type: Article
Times cited : (13)

References (13)
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  • 6
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    • Theoretical and empirical analysis of relieff and RReliefF
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    • Application of a multi-domain knowledge structure: The decisional DNA
    • edited by N. Nguyen and E. Szczerbicki Berlin: Springer
    • Sanin, C., L. Mancilla-Amaya, E. Szczerbicki, and P. Cayford Howell. "Application of a Multi-Domain Knowledge Structure: The Decisional DNA." In Intelligent Systems for Knowledge Management, edited by N. Nguyen and E. Szczerbicki, 65-86. Berlin: Springer, 2009.
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  • 10
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    • Experience-based knowledge representation: SOEKS
    • Sanin, C. and E. Szczerbicki. "Experience-Based Knowledge Representation: SOEKS." Cybernetics and Systems 40, no. 2 (2009): 99-122.
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  • 11
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    • Iterative RELIEF for feature weighting: Algorithms theories and applications
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    • Introducing the concept of decisional DNA-Based web content mining
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.