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Volumn 5009 LNAI, Issue , 2008, Pages 221-228

On classification of data by means of rough mereological granules of objects and rules

Author keywords

Data classification; Granulation of knowledge; Rough inclusions; Rough sets

Indexed keywords

COMPUTATIONAL MECHANICS; DATA ACQUISITION; DECISION TABLES; KNOWLEDGE BASED SYSTEMS; OBJECT RECOGNITION; ROUGH SET THEORY;

EID: 44649149104     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-79721-0_33     Document Type: Conference Paper
Times cited : (22)

References (9)
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    • Polkowski, L, Skowron, A, eds, Physica Verlag, Heidelberg
    • Bazan, J.G.: A comparison of dynamic and non-dynamic rough set methods for extracting laws from decision tables. In: Polkowski, L., Skowron, A. (eds.) Rough Sets in Knowledge Discovery, vol. 1, pp. 321-365. Physica Verlag, Heidelberg (1998)
    • (1998) Rough Sets in Knowledge Discovery , vol.1 , pp. 321-365
    • Bazan, J.G.1
  • 2
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    • Regularity analysis and its applications in Data Mining
    • Polkowski, L, Tsumoto, S, Lin, T.Y, eds, Physica Verlag, Heidelberg
    • Nguyen, S.H.: Regularity analysis and its applications in Data Mining. In: Polkowski, L., Tsumoto, S., Lin, T.Y. (eds.) Rough Set Methods and Applications, pp. 289-378. Physica Verlag, Heidelberg (2000)
    • (2000) Rough Set Methods and Applications , pp. 289-378
    • Nguyen, S.H.1
  • 3
    • 44649135334 scopus 로고    scopus 로고
    • Polkowski, L.: Rough mereology in analysis of vagueness. In: RSKT 2008. LNCS (LNAI), 5009, Springer, Heidelberg (in print, 2008)
    • Polkowski, L.: Rough mereology in analysis of vagueness. In: RSKT 2008. LNCS (LNAI), vol. 5009, Springer, Heidelberg (in print, 2008)
  • 4
    • 44649195788 scopus 로고    scopus 로고
    • Polkowski, L.: On the idea of using granular rough mereological structures in classification of data. In: RSKT 2008. LNCS (LNAI), 5009, Springer, Heidelberg (in print, 2008)
    • Polkowski, L.: On the idea of using granular rough mereological structures in classification of data. In: RSKT 2008. LNCS (LNAI), vol. 5009, Springer, Heidelberg (in print, 2008)
  • 5
    • 44649136647 scopus 로고    scopus 로고
    • Formal granular calculi based on rough inclusions (a feature talk)
    • Zhang, Y.-Q, Lin, T.Y, eds, IEEE Press, Piscataway
    • Polkowski, L.: Formal granular calculi based on rough inclusions (a feature talk). In: Zhang, Y.-Q., Lin, T.Y. (eds.) IEEE GrC 2006, pp. 9-18. IEEE Press, Piscataway (2006)
    • (2006) IEEE GrC , pp. 9-18
    • Polkowski, L.1
  • 6
    • 33746777557 scopus 로고    scopus 로고
    • Formal granular calculi based on rough inclusions (a feature talk)
    • Hu, X, Liu, Q, Skowron, A, Lin, T.Y, Yager, R.R, Zhang, B, eds, IEEE Press, Piscataway
    • Polkowski, L.: Formal granular calculi based on rough inclusions (a feature talk). In: Hu, X., Liu, Q., Skowron, A., Lin, T.Y., Yager, R.R., Zhang, B. (eds.) IEEE GrC 2005, pp. 57-62. IEEE Press, Piscataway (2005)
    • (2005) IEEE GrC , pp. 57-62
    • Polkowski, L.1
  • 7
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    • Skowron, A., et al: RSES, http://logic.mimuw.edu.pl/~rses/
    • Skowron, A., et al: RSES, http://logic.mimuw.edu.pl/~rses/
  • 8
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    • UCI Repository
    • UCI Repository, http://www.ics.uci.edu/~mlearn/databases/
  • 9
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    • Adaptive aspects of combining approximation spaces
    • Pal, S.K, Polkowski, L, Skowron, A, eds, Springer, Berlin
    • Wróblewski, J.: Adaptive aspects of combining approximation spaces. In: Pal, S.K., Polkowski, L., Skowron, A. (eds.) Rough Neural Computing, pp. 139-156. Springer, Berlin (2004)
    • (2004) Rough Neural Computing , pp. 139-156
    • Wróblewski, J.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.