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Volumn 1, Issue , 2008, Pages 145-151

An agent based rough classifier for data mining

Author keywords

[No Author keywords available]

Indexed keywords

AGENT BASED; AGENT-BASED APPROACH; CLASSIFICATION ACCURACY; DATA MINING TECHNIQUES; LARGE DATABASE; MAIN AGENT; MODELLING FRAMEWORK; MODELLING PROCESS; NP-HARD PROBLEM; PROCESSING TIME; REDUCTION AGENTS; ROUGH CLASSIFICATION; ROUGH SET; ROUGH SET CLASSIFICATION; RULES GENERATION; RUNNING TIME;

EID: 67449127139     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ISDA.2008.29     Document Type: Conference Paper
Times cited : (9)

References (15)
  • 2
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    • Hassan, Y., Tazaki, E.: Interpretation of Rough Neural Networks as Emergent Model. In: G.Wang et al. (eds.) RSFDGrC 2003. LNAI, 2639, pp. 245-249. Springer, Heidelberg (2003).
    • Hassan, Y., Tazaki, E.: Interpretation of Rough Neural Networks as Emergent Model. In: G.Wang et al. (eds.) RSFDGrC 2003. LNAI, vol 2639, pp. 245-249. Springer, Heidelberg (2003).
  • 3
    • 34548710589 scopus 로고    scopus 로고
    • Emergent Rough Set Data Analysis
    • Peters, J. F, eds, Transactions on Rough Sets, 3135, pp, Springer, Heidelberg
    • Hassan, Y., Tazaki, E.: Emergent Rough Set Data Analysis. In: Peters, J. F. (eds.) Transactions on Rough Sets II 2004. LNCS, vol 3135, pp. 343-361. Springer, Heidelberg (2004).
    • (2004) LNCS , vol.2 , pp. 343-361
    • Hassan, Y.1    Tazaki, E.2
  • 4
    • 84949233005 scopus 로고    scopus 로고
    • Approximate Reasoning by Agents
    • Dunin-Keplicz, B, Nawarecki, E, eds, CEEMAS 2002, Springer, Heidelberg
    • Skowron, A.: Approximate Reasoning by Agents. In: Dunin-Keplicz, B., Nawarecki, E. (eds.) CEEMAS 2002. LNAI, vol 2296, pp. 3-14. Springer, Heidelberg (2002).
    • (2002) LNAI , vol.2296 , pp. 3-14
    • Skowron, A.1
  • 5
    • 8344247760 scopus 로고    scopus 로고
    • Hu, X.T., Han, J.: A New Rough Sets Model Based on Database Systems. In: Wang, G. et al. (eds.) RSFDGrC 2003. LNAI, 2639, pp. 114-121. Springer, Heidelberg (2003).
    • Hu, X.T., Han, J.: A New Rough Sets Model Based on Database Systems. In: Wang, G. et al. (eds.) RSFDGrC 2003. LNAI, vol 2639, pp. 114-121. Springer, Heidelberg (2003).
  • 7
    • 2942691454 scopus 로고    scopus 로고
    • A Rough Set Framework of Propositional Default Rules Data Mining
    • Pal, S.K, Skowron, A, eds, Springer, Singapore
    • Mollestad, T., Komorowski, J.: A Rough Set Framework of Propositional Default Rules Data Mining. In: Pal, S.K., Skowron, A. (eds.) Fuzzy Sets,Rough Sets and Decision Making Processes, pp. 1-15. Springer, Singapore (1998).
    • (1998) Fuzzy Sets,Rough Sets and Decision Making Processes , pp. 1-15
    • Mollestad, T.1    Komorowski, J.2
  • 8
    • 67449151066 scopus 로고    scopus 로고
    • Mollestad, T.: A Rough Set Approach to Data Mining: Extracting Logic of Default Rules from Data. Ph.D Thesis, Norwegian University of Science And Technology (1997).
    • Mollestad, T.: A Rough Set Approach to Data Mining: Extracting Logic of Default Rules from Data. Ph.D Thesis, Norwegian University of Science And Technology (1997).
  • 9
    • 84949747271 scopus 로고    scopus 로고
    • A Rough Set Framework for Data Mining of Propositional Default Rules
    • Michalewicz, Z, Ras, Z. R, eds, 96, pp, Springer, Heidelberg
    • Mollestad, T., Skowron, A.: A Rough Set Framework for Data Mining of Propositional Default Rules. In: Michalewicz, Z., Ras, Z. R. (eds.) Proc. Of the 9th Intl. Symposium on Intelligent Systems, ISMIS '96, pp. 448-457. Springer, Heidelberg (1996).
    • (1996) Proc. Of the 9th Intl. Symposium on Intelligent Systems, ISMIS , pp. 448-457
    • Mollestad, T.1    Skowron, A.2
  • 12
    • 28244452904 scopus 로고    scopus 로고
    • Jenssen, T. K., Komorowski, J., Ohrn, A.: Some Heuristics for Default Knowledge Discovery. In: Polkowski, L., Skowron, A. (eds.) RSCTC'98. LNAI, 1424, pp. 373- -381. Springer, Heidelberg (1998).
    • Jenssen, T. K., Komorowski, J., Ohrn, A.: Some Heuristics for Default Knowledge Discovery. In: Polkowski, L., Skowron, A. (eds.) RSCTC'98. LNAI, vol. 1424, pp. 373- -381. Springer, Heidelberg (1998).
  • 14
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    • Rough Set As a Framework for Data Mining
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    • Aasheim, O. T., Solheim, H. G.: Rough Set As a Framework for Data Mining. Technical Report, Norwegian University of Science and Technology (1996).
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    • Aasheim, O.T.1    Solheim, H.G.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.