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Volumn 118, Issue , 2008, Pages 165-178

Towards a methodology for data mining project development: The importance of abstraction

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EID: 51349166665     PISSN: 1860949X     EISSN: None     Source Type: Book Series    
DOI: 10.1007/978-3-540-78488-3_10     Document Type: Article
Times cited : (4)

References (30)
  • 1
    • 0031274825 scopus 로고    scopus 로고
    • Data mining with decision trees and decision rules
    • A. Chidanand and S. Weiss. Data mining with decision trees and decision rules. Future Generation Computer Systems, 13(2-3):197-210, 1997
    • (1997) Future Generation Computer Systems , vol.13 , Issue.2-3 , pp. 197-210
    • Chidanand, A.1    Weiss, S.2
  • 2
    • 51349119905 scopus 로고    scopus 로고
    • R. Agrawal, H. Mannila, R. Srikant, H. Toivonen, and A. Verkamo. Fast discovery of association rules. In U. Fayyad et al. Advances in Knowledge Discovery and Data Mining. MIT, Cambridge, MA, 1996
    • R. Agrawal, H. Mannila, R. Srikant, H. Toivonen, and A. Verkamo. Fast discovery of association rules. In U. Fayyad et al. Advances in Knowledge Discovery and Data Mining. MIT, Cambridge, MA, 1996
  • 3
    • 51349094958 scopus 로고    scopus 로고
    • American Society for Quality, last accessed 2005
    • American Society for Quality. Six Sigma Forum. http://www.asq.org/info/ glossary/p.html, last accessed 2005
    • Six Sigma Forum
  • 9
    • 51349142925 scopus 로고    scopus 로고
    • U. Fayyad, G. Piatetsky-Shapiro, and P. Smyth. From data mining to knowledge discovery: An overview. In U. Fayyad et al. Advances in Knowledge Discovery and Data Mining 1-34. MIT, Cambridge, MA, Chapter 1, 1996
    • U. Fayyad, G. Piatetsky-Shapiro, and P. Smyth. From data mining to knowledge discovery: An overview. In U. Fayyad et al. Advances in Knowledge Discovery and Data Mining 1-34. MIT, Cambridge, MA, Chapter 1, 1996
  • 15
    • 0039253846 scopus 로고    scopus 로고
    • J. Han, J. Pei, and Y. Yin. Mining frequent patterns without candidate generation. In W. Chen, J. Naughton, and P.A. Bernstein, editors, 2000 ACM SIGMOD International Conference on Management of Data, 1-12. ACM, 05 2000
    • J. Han, J. Pei, and Y. Yin. Mining frequent patterns without candidate generation. In W. Chen, J. Naughton, and P.A. Bernstein, editors, 2000 ACM SIGMOD International Conference on Management of Data, 1-12. ACM, 05 2000
  • 19
    • 0042934670 scopus 로고    scopus 로고
    • Data mining using granular computing: Fast algorithms for finding association rules
    • Physica, Heidelberg
    • T.Y. Lin and E. Louie. Data mining using granular computing: Fast algorithms for finding association rules. In Data Mining, Rough Sets and Granular Computing, 23-45. Physica, Heidelberg, 2002
    • (2002) Data Mining, Rough Sets and Granular Computing , pp. 23-45
    • Lin, T.Y.1    Louie, E.2
  • 21
    • 14944349096 scopus 로고    scopus 로고
    • Business Intelligence Roadmap. The Complete Project Lifecycle for Decision-Support Applications
    • L.T. Moss and S. Atre. Business Intelligence Roadmap. The Complete Project Lifecycle for Decision-Support Applications. Addison-Wesley Information Technology Series, 2004
    • (2004) Addison-Wesley Information Technology Series
    • Moss, L.T.1    Atre, S.2
  • 22
    • 51349090310 scopus 로고    scopus 로고
    • Object Management Group. Common Warehouse Metamodel - Data Mining. http://www.omg.org/cgi-bin/doc?ad/00-01-01, March last accessed 2005
    • Object Management Group. Common Warehouse Metamodel - Data Mining. http://www.omg.org/cgi-bin/doc?ad/00-01-01, March last accessed 2005
  • 23
    • 51349153632 scopus 로고    scopus 로고
    • University of Washington, last accessed 2005
    • University of Washington. Project Definition in Project Management. http://www.washington.edu/computing/pm/define/definition.html, last accessed 2005
    • Project Definition in Project Management
  • 24
    • 0019699783 scopus 로고
    • Information systems: Theoretical foundations
    • Z. Pawlak. Information systems: Theoretical foundations. Information Systems, 6(3):205-218, 1981
    • (1981) Information Systems , vol.6 , Issue.3 , pp. 205-218
    • Pawlak, Z.1
  • 27
    • 51349144302 scopus 로고    scopus 로고
    • SAS. SEMMA - Sample, Explore, Modify, Model, Assess. http://www.sas.com/ technologies/analytics/datamining/miner/semma.html, last accessed 2005
    • SAS. SEMMA - Sample, Explore, Modify, Model, Assess. http://www.sas.com/ technologies/analytics/datamining/miner/semma.html, last accessed 2005
  • 28
    • 0142214536 scopus 로고    scopus 로고
    • D. Slezak, J.Wroblewski, and M.S. Szczuka. Constructing extensions of bayesian classifiers with use of normalizing neural networks. In Foundations of Intelligent Systems, 14th International Symposium, ISMIS 2003, Maebashi City, Japan, October 28-31, 2003, Proceedings, 2871 of Lecture Notes in Computer Science, 408-416. Springer, Berlin Heidelberg New York, 2003
    • D. Slezak, J.Wroblewski, and M.S. Szczuka. Constructing extensions of bayesian classifiers with use of normalizing neural networks. In Foundations of Intelligent Systems, 14th International Symposium, ISMIS 2003, Maebashi City, Japan, October 28-31, 2003, Proceedings, volume 2871 of Lecture Notes in Computer Science, 408-416. Springer, Berlin Heidelberg New York, 2003
  • 29
    • 51349095379 scopus 로고    scopus 로고
    • SPSS Corporation, last accessed 2005
    • SPSS Corporation. CAT (Clementine Application Templates). http://www.spss.com/clementine/cats.htm, last accessed 2005
    • CAT (Clementine Application Templates)


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.