메뉴 건너뛰기




Volumn 1, Issue , 2004, Pages 446-449

An incremental algorithm for mining classification rules in incomplete information systems

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; DATA MINING; DATABASE SYSTEMS; DECISION SUPPORT SYSTEMS; DECISION TABLES; KNOWLEDGE BASED SYSTEMS;

EID: 4544246194     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (14)

References (35)
  • 3
    • 0029405527 scopus 로고
    • Rough sets
    • Z. Pawlak, "Rough sets", Comm. of the ACM, vol.38, no.11, pp.89-95, 1995.
    • (1995) Comm. of the ACM , vol.38 , Issue.11 , pp. 89-95
    • Pawlak, Z.1
  • 6
    • 1542375815 scopus 로고    scopus 로고
    • An approach to attribute generalization in incomplete information system
    • Xi'an, China, Nov
    • T. R. Li, J. Ma, Y. Xu and N. Yang, "An approach to attribute generalization in incomplete information system," in Proc. of Int. Conf. on Machine Learning and Cybernetics, Xi'an, China, Nov, 2003, pp.1678-1691.
    • (2003) Proc. of Int. Conf. on Machine Learning and Cybernetics , pp. 1678-1691
    • Li, T.R.1    Ma, J.2    Xu, Y.3    Yang, N.4
  • 9
    • 0032048398 scopus 로고    scopus 로고
    • Computational methods for rough classification and discovery
    • D. A. Bell and J. W. Guan, "Computational methods for rough classification and discovery," J. of the Amer. Soc. for Inf. Sci. vol.49, pp.403414, 1998.
    • (1998) J. of the Amer. Soc. for Inf. Sci. , vol.49 , pp. 403414
    • Bell, D.A.1    Guan, J.W.2
  • 10
    • 0032093405 scopus 로고    scopus 로고
    • A rough set approach to attribute generalization in data mining
    • C. C. Chan, "A rough set approach to attribute generalization in data mining," J. of Inf. Sci. vol.107, pp.177-194, 1998.
    • (1998) J. of Inf. Sci. , vol.107 , pp. 177-194
    • Chan, C.C.1
  • 11
    • 0007417922 scopus 로고    scopus 로고
    • Decision rules with rough operator and soft computing of data mining
    • Q. Liu, Z. Huang., S. Liu and L. Yao, "Decision rules with rough operator and soft computing of data mining (in Chinese)," J. of comp. research & development, vol.36, no.7, pp.800-804, 1999.
    • (1999) J. of Comp. Research & Development , vol.36 , Issue.7 , pp. 800-804
    • Liu, Q.1    Huang, Z.2    Liu, S.3    Yao, L.4
  • 12
    • 0000549391 scopus 로고    scopus 로고
    • An Approach for attribute reduction and rule generation based on rough set theory
    • L. Chang, G. Wang and Y. Wu, "An Approach for attribute reduction and rule generation based on rough set theory (in Chinese)," J. of Software, vol.10.no. 11, pp.1206-1211, 1999.
    • (1999) J. of Software , vol.10 , Issue.11 , pp. 1206-1211
    • Chang, L.1    Wang, G.2    Wu, Y.3
  • 13
    • 1542352227 scopus 로고    scopus 로고
    • A generalization rough set approach to attribute generalization in data mining
    • Belgium, Sept
    • T. Li and Y. Xu, "A generalization rough set approach to attribute generalization in data mining," in Int. FLINS Conf. on Appl. Comp. Intel. Belgium, Sept, 2000, pp.126-132.
    • (2000) Int. FLINS Conf. on Appl. Comp. Intel. , pp. 126-132
    • Li, T.1    Xu, Y.2
  • 14
    • 84947732082 scopus 로고    scopus 로고
    • Rough sets for data mining and knowledge discovery
    • J. Komorowski, L. Polkowski and A. Skowron, "Rough sets for data mining and knowledge discovery," LNAI, vol.1263, pp.393, 1997.
    • (1997) LNAI , vol.1263 , pp. 393
    • Komorowski, J.1    Polkowski, L.2    Skowron, A.3
  • 15
    • 0032046393 scopus 로고    scopus 로고
    • Date mining using extensions of the rough set model
    • P. J. Lingras and Y. Y. Yao, "Date mining using extensions of the rough set model," J. of Amer. Soc. for Inf. Sci. vol.49, pp415-422, 1998.
    • (1998) J. of Amer. Soc. for Inf. Sci. , vol.49 , pp. 415-422
    • Lingras, P.J.1    Yao, Y.Y.2
  • 17
    • 0032294902 scopus 로고    scopus 로고
    • Rough set approach to incomplete information systems
    • M. Kryszkiewicz, "Rough set approach to incomplete information systems," J. of Inf. Sci. vol.112, pp.39-49, 1998.
    • (1998) J. of Inf. Sci. , vol.112 , pp. 39-49
    • Kryszkiewicz, M.1
  • 18
    • 0033079944 scopus 로고    scopus 로고
    • Rules in incomplete information systems
    • M. Kryszkiewicz, "Rules in incomplete information systems," J. of Inf. Sci. vol.113, pp.271-292, 1999.
    • (1999) J. of Inf. Sci. , vol.113 , pp. 271-292
    • Kryszkiewicz, M.1
  • 19
    • 0030219662 scopus 로고    scopus 로고
    • Rough-set reasoning about uncertain data
    • R. Slowinski, J. Strfanowski, "Rough-set reasoning about uncertain data," Fund. Inf., vol.27, pp.229-244, 1996.
    • (1996) Fund. Inf. , vol.27 , pp. 229-244
    • Slowinski, R.1    Strfanowski, J.2
  • 20
    • 0008917399 scopus 로고
    • A synthesis of decision rules: Applications of discernibility matrix
    • Augustow, Poland
    • A. Skowron, "A synthesis of decision rules: applications of discernibility matrix," in Proc. of Int. Conf. on IIS, Augustow, Poland, 1993, pp.30-46.
    • (1993) Proc. of Int. Conf. on IIS , pp. 30-46
    • Skowron, A.1
  • 21
    • 84947730794 scopus 로고    scopus 로고
    • Rule discovery in database with missing values based on rough set model
    • N. Zhong and L. Zhou, Eds. Springer
    • S. Tsumoto, "Rule discovery in database with missing values based on rough set model," in: N. Zhong and L. Zhou, Eds. Methodologies for Knowledge Discover and Data Mining, Springer, 1999, pp. 274-278.
    • (1999) Methodologies for Knowledge Discover and Data Mining , pp. 274-278
    • Tsumoto, S.1
  • 22
    • 0030141552 scopus 로고    scopus 로고
    • A method for computing all maximally general rules in attribute-value systems
    • W. Ziarko and N. Shan, "A method for computing all maximally general rules in attribute-value systems," Computational Intelligence, vol.12, no.2, pp.223-234, 1996.
    • (1996) Computational Intelligence , vol.12 , Issue.2 , pp. 223-234
    • Ziarko, W.1    Shan, N.2
  • 23
    • 0033719032 scopus 로고    scopus 로고
    • A generalized definition of rough approximations based on similarity
    • R. Slowinski and D. Vanderpooten, "A generalized definition of rough approximations based on similarity," IEEE Trans. on Know. and Data Eng. vol.12, no.2, pp.331-336, 2000.
    • (2000) IEEE Trans. on Know. and Data Eng. , vol.12 , Issue.2 , pp. 331-336
    • Slowinski, R.1    Vanderpooten, D.2
  • 24
    • 0030283822 scopus 로고    scopus 로고
    • A rough logic based on incomplete information and its application
    • A. Nakamura, "A rough logic based on incomplete information and its application,"Int. J. of Appr. Reas., vol.15, pp.367-378, 1996.
    • (1996) Int. J. of Appr. Reas. , vol.15 , pp. 367-378
    • Nakamura, A.1
  • 27
    • 0035156139 scopus 로고    scopus 로고
    • Comparative study of alternative types of knowledge reduction in inconsistent systems
    • M. Kryszkiewicz, "Comparative study of alternative types of knowledge reduction in inconsistent systems," Int. J. of Intel. Sys. Vol.16, pp.105-120, 2001.
    • (2001) Int. J. of Intel. Sys. , vol.16 , pp. 105-120
    • Kryszkiewicz, M.1
  • 28
    • 0035154659 scopus 로고    scopus 로고
    • Drawing conclusions from data - The rough set way
    • Z. Pawlak, "Drawing conclusions from data - the rough set way," Int. J. of Intel. Sys. Vol. 16, pp.3-11, 2001.
    • (2001) Int. J. of Intel. Sys. , vol.16 , pp. 3-11
    • Pawlak, Z.1
  • 29
    • 0036567302 scopus 로고    scopus 로고
    • Learning rules from incomplete training examples by rough sets
    • T. P. Hong, L. H. Tseng and SH. L. Wang, "Learning rules from incomplete training examples by rough sets," Exp. Sys. with Appl. vol.22, Issue 4, pp.285-293, 2002.
    • (2002) Exp. Sys. with Appl. , vol.22 , Issue.4 , pp. 285-293
    • Hong, T.P.1    Tseng, L.H.2    Wang, S.H.L.3
  • 30
    • 0002634533 scopus 로고    scopus 로고
    • Synthesis of decision systems from data tables
    • T.Y. Lin and N. Cereone (eds.), Dordrecht: Kluwer
    • A. Skowron and L. Polkowski, "Synthesis of decision systems from data tables," in: T.Y. Lin and N. Cereone (eds.), Rough Sets and Data Mining, Analysis of Imprecise Data, Dordrecht: Kluwer, pp.259-299, 1997.
    • (1997) Rough Sets and Data Mining, Analysis of Imprecise Data , pp. 259-299
    • Skowron, A.1    Polkowski, L.2
  • 31
    • 0029307418 scopus 로고
    • Extracting laws from decision tables
    • A. Skowron, "Extracting laws from decision tables," Comp. Intel. vol.11, no.2, pp.371-388, 1995.
    • (1995) Comp. Intel. , vol.11 , Issue.2 , pp. 371-388
    • Skowron, A.1
  • 33
    • 0036921385 scopus 로고    scopus 로고
    • An improving mining algorithm aiming at a kind of specific function of degree of interest
    • Beijing, China, Nov
    • T. R. Li, J. Ma and Y. Xu, "An improving mining algorithm aiming at a kind of specific function of degree of interest," in Proc. of Int. Conf. on Machine Learning and Cybernetics, Beijing, China, Nov, 2002, pp.1214-1218.
    • (2002) Proc. of Int. Conf. on Machine Learning and Cybernetics , pp. 1214-1218
    • Li, T.R.1    Ma, J.2    Xu, Y.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.