Discretization of continuous attributes based on statistical information

Journal of Computational Information Systems

Volumn 4, Issue 3, 2008, Pages 1069-1076

  Li, Guohe ^a   Sun, Hongjun ^b   Li, Hongqi ^a   Jiang, Xi ^a  

^a CHINA UNIVERSITY OF PETROLEUM   (China)

^b SINOPEC   (China)

Author keywords

Continuous attribute; Data discretization; Fuzzy clustering; Information system; Knowledge discovery in database (KDD); Probability and statistics

Indexed keywords

DATA PROCESSING; FUZZY CLUSTERING; OIL WELL LOGGING; PROBABILITY DISTRIBUTIONS; RISK ASSESSMENT; STATISTICAL METHODS; WELL LOGGING;

CONTINUOUS ATTRIBUTE; CONTINUOUS ATTRIBUTES; DATA DISCRETIZATION; DATA PRE-PROCESSING; DATA RANGES; DISCRETIZATION; INFORMATION SYSTEM; INTELLIGENT INFORMATION PROCESSING; KNOWLEDGE DISCOVERY IN DATABASE (KDD); PROBABILITY AND STATISTICS; STATISTICAL INFORMATION; STATISTICAL VALUES;

NORMAL DISTRIBUTION;

EID: 48549091603     PISSN: 15539105     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (10)

1. ZENG Huanglin. Rough Set Theory and its Application[M]. Chongqing: Chongqing University Press, 1998: 55-116(in Chinese)
2. SHI Zhongzhi. Knowledge Discovery[M]. Beijing: Tsinghua University Press, 2002: 57-84(in Chinese)
3. MIAO Duo Qian. A NEW METHOD OF DISCRETIZATION OF CONTINUOUS ATTRIBUTES IN ROUGH SETS[J]. Acta Automatica Sinica, 2001, 27(3): 296-302
4. WANG Guoyun. Rough Set Theory and Knowledge Acquisition[M]. Xi'an: Xi'an Jiaotong University, 2001: 99-116(in Chinese)
5. S. RABASÉ DA, R. RAKOTOMALALA, M. SEBBAN. A Comparison of Some Contextual Discretization Mothods[J]. Information and Computer Science. 1999(92): 137-157
6. J. Catlett. On Changing Continuous attributes into Ordered Discrete attributes[J]. Artificial Intelligence. 1991(482): 164-178
7. U Fayyad, K Irani. Multi-interval Discretization of Continuous Valued Attributes for Classification Learning[C]. 13th IJCAI, Chambery, France, 1993. 1022-1027
8. Lenarcik A, Piasta Z. Discretization of Condition Attributes Space[C]. Klower R S, ed. Intelligence Decision Support, 1992. 373-389
9. YANG Lunbiao, GAOA Fengyi. Fuzzy Math Principle and its Application[M]. Guangzhou: South China University of Technology Press, 1998. 94-130
10. Math Teaching and Researching Group of Dept. of Math of Zhejiang University. Engineering Mathmatics-Theory of Probability and Statistics[M]. Beijing: High Education Press, 1984: 101-126(in Chinese).