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Volumn 3755 LNAI, Issue , 2006, Pages 273-281

Mining quantitative association rules in protein sequences

Author keywords

Data mining; Protein composition; Quantitative association rule mining

Indexed keywords

AMINO ACIDS; ASSOCIATION RULES; PROTEINS; SYNTHESIS (CHEMICAL);

EID: 37149046449     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11677437_21     Document Type: Conference Paper
Times cited : (34)

References (12)
  • 2
    • 0017382826 scopus 로고
    • On the information content of cytochrome
    • Yockey, H. P. (1977). On the information content of cytochrome. J. Theor. Biol. 67, 147-151.
    • (1977) J. Theor. Biol , vol.67 , pp. 147-151
    • Yockey, H.P.1
  • 3
    • 0029938188 scopus 로고    scopus 로고
    • The Shannon information entropy of protein sequences
    • Strait, B.J.& Dewey, G.(1996). The Shannon information entropy of protein sequences. Biophys. J. 71, 148-155.
    • (1996) Biophys. J , vol.71 , pp. 148-155
    • Strait, B.J.1    Dewey, G.2
  • 4
    • 0028557353 scopus 로고
    • Non-randomness in protein sequences: Evidence for a physically driven stage of evolution?
    • Pande, S. V., Grosberg, A. Y. & Tanaka, T. (1994). Non-randomness in protein sequences: evidence for a physically driven stage of evolution? Proc. Natl. Acad. Sci. U.S.A. 91, 12972-12975.
    • (1994) Proc. Natl. Acad. Sci. U.S.A , vol.91 , pp. 12972-12975
    • Pande, S.V.1    Grosberg, A.Y.2    Tanaka, T.3
  • 5
    • 0027507346 scopus 로고
    • The evolution of proteins from random amino acid sequences - I. Evidence of proteins from the lengthwise distribution of amino acids in modern proteins
    • White, S. H. & Jacobs, R. E. (1993). The evolution of proteins from random amino acid sequences - I. Evidence of proteins from the lengthwise distribution of amino acids in modern proteins. J. Mol. Evol. 36, 79-95.
    • (1993) J. Mol. Evol , vol.36 , pp. 79-95
    • White, S.H.1    Jacobs, R.E.2
  • 6
    • 37149051422 scopus 로고    scopus 로고
    • Agrawal, R. and Srikant, R. (1994). Fast algorithms for mining association rules. In Proc of the 20th Int'l Conference on Very Large Databases, Santiago, Chile, September'94.
    • Agrawal, R. and Srikant, R. (1994). Fast algorithms for mining association rules. In Proc of the 20th Int'l Conference on Very Large Databases, Santiago, Chile, September'94.
  • 7
    • 0030156999 scopus 로고    scopus 로고
    • Data mining using two-dimensional optimized association rules: Scheme, algorithms, and visualization
    • Montreal, Canada
    • Fukuda, T., Morimoto, Y., Morishita, S. and Tokuyama, T. (1996) Data mining using two-dimensional optimized association rules: Scheme, algorithms, and visualization. In Proc. 1996 ACM-SIGMOD Int. Conf. Management of Data, pp 13-23, Montreal, Canada.
    • (1996) Proc. 1996 ACM-SIGMOD Int. Conf. Management of Data , pp. 13-23
    • Fukuda, T.1    Morimoto, Y.2    Morishita, S.3    Tokuyama, T.4
  • 8
    • 0030157416 scopus 로고    scopus 로고
    • Mining quantitative association rules in large relational tables
    • Srikant, R. and Agrawal, R. (1996). Mining quantitative association rules in large relational tables. Proc. ACM SIGMOD.
    • (1996) Proc. ACM SIGMOD
    • Srikant, R.1    Agrawal, R.2
  • 9
    • 0031161999 scopus 로고    scopus 로고
    • Beyond market basket: Generalizing association rules to correlations
    • Tuscon, AZ
    • Brin, S., Motwani, R., and Silverstein, C. (1997). Beyond market basket: Generalizing association rules to correlations. In Proc. 1197 ACM SIGMOD, pp 265-276. Tuscon, AZ.
    • (1997) Proc. 1197 ACM SIGMOD , pp. 265-276
    • Brin, S.1    Motwani, R.2    Silverstein, C.3
  • 10
    • 15744392407 scopus 로고    scopus 로고
    • Data Mining: Concepts and Techniques
    • San Francisco
    • Han, J. and Kamber, M. Data Mining: Concepts and Techniques. Morgan Kaufmann Publishers, San Francisco, 2001.
    • (2001) Morgan Kaufmann Publishers
    • Han, J.1    Kamber, M.2
  • 12
    • 37149000820 scopus 로고    scopus 로고
    • http://scop.mrc-lmb.cam.ac.uk/scop/


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.