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Volumn 197, Issue 1, 2012, Pages 123-134

Multiple factor hierarchical clustering algorithm for large scale web page and search engine clickstream data

Author keywords

Clickstream analysis; Information retrieval; K means algorithm; Multiple criteria decision making; Multiple factor hierarchical algorithm; Web page clustering

Indexed keywords


EID: 84864759041     PISSN: 02545330     EISSN: 15729338     Source Type: Journal    
DOI: 10.1007/s10479-010-0704-3     Document Type: Article
Times cited : (58)

References (35)
  • 3
    • 0000340756 scopus 로고
    • As we may think
    • Bush, V. (1945). As we may think. Atlantic Monthly, 176, 101-108.
    • (1945) Atlantic Monthly , vol.176 , pp. 101-108
    • Bush, V.1
  • 5
    • 57849151861 scopus 로고    scopus 로고
    • CRISP-DM, Accessed 28 August 2009
    • CRISP-DM (1996). CRoss industry standard process for data mining. http://www. crisp-dm. org/Overview/index. htm. Accessed 28 August 2009.
    • (1996) CRoss industry standard process for data mining
  • 6
    • 0026961606 scopus 로고
    • Scatter/gather: a clusterbased approach to browsing large document collection
    • Copenhagen, Denmark
    • Cutting, D., Karger, D., Pedersen, J., & Tukey, J. (1992). Scatter/gather: a clusterbased approach to browsing large document collection. In Proceedings of the 15th ACM SIGIR conference (pp. 318-329), Copenhagen, Denmark.
    • (1992) Proceedings of the 15th ACM SIGIR conference , pp. 318-329
    • Cutting, D.1    Karger, D.2    Pedersen, J.3    Tukey, J.4
  • 7
    • 0003219068 scopus 로고    scopus 로고
    • Efficient clustering of very large document collections
    • R. L. Grossman, C. Kamath, P. Kegelmeyer, V. Kumar, and R. R. Namburu (Eds.), Dordrecht: Kluwer Academic
    • Dhillon, I., Fan, J., & Guan, Y. (2001). Efficient clustering of very large document collections. In R. L. Grossman, C. Kamath, P. Kegelmeyer, V. Kumar, & R. R. Namburu (Eds.) Data mining for scientific and engineering applications. Dordrecht: Kluwer Academic.
    • (2001) Data Mining for Scientific and Engineering Applications
    • Dhillon, I.1    Fan, J.2    Guan, Y.3
  • 12
    • 0038545418 scopus 로고    scopus 로고
    • Identification of web user traffic composition using multimodal clustering and information scent
    • Chicago, IL
    • Heer, J., & Chi, E. (2001). Identification of web user traffic composition using multimodal clustering and information scent. In 1st SIAM CDM, workshop on web mining (pp. 51-58), Chicago, IL.
    • (2001) 1st SIAM CDM, workshop on web mining , pp. 51-58
    • Heer, J.1    Chi, E.2
  • 15
    • 0141532921 scopus 로고    scopus 로고
    • Multiple criteria linear programming to data mining: models, algorithm designs and software developments
    • Part 2
    • Kou, G., Liu, X., Peng, Y., Shi, Y., Wise, M., & Xu, W. (2003). Multiple criteria linear programming to data mining: models, algorithm designs and software developments. Optimization Methods and Software, 18(4), 453-473, Part 2.
    • (2003) Optimization Methods and Software , vol.18 , Issue.4 , pp. 453-473
    • Kou, G.1    Liu, X.2    Peng, Y.3    Shi, Y.4    Wise, M.5    Xu, W.6
  • 16
    • 24144463438 scopus 로고    scopus 로고
    • Discovering credit cardholders' behavior by multiple criteria linear programming
    • Kou, G., Peng, Y., Shi, Y., Wise, M., & Xu, W. (2005). Discovering credit cardholders' behavior by multiple criteria linear programming. Annals of Operations Research, 135(1), 261-274.
    • (2005) Annals of Operations Research , vol.135 , Issue.1 , pp. 261-274
    • Kou, G.1    Peng, Y.2    Shi, Y.3    Wise, M.4    Xu, W.5
  • 17
    • 84864759700 scopus 로고    scopus 로고
    • Using clustering to improve sales forecasts in retail merchandising
    • Published online: 17 September 2008
    • Kumar, M., & Patel, N. (2008). Using clustering to improve sales forecasts in retail merchandising, Annals of Operations Research. Published online: 17 September 2008.
    • (2008) Annals of Operations Research
    • Kumar, M.1    Patel, N.2
  • 23
    • 25444432911 scopus 로고    scopus 로고
    • Ph. D. Thesis, University of Alberta
    • Pantel, P. (2003). Clustering by committee. Ph. D. Thesis, University of Alberta.
    • (2003) Clustering by committee
    • Pantel, P.1
  • 26
    • 38649085309 scopus 로고    scopus 로고
    • A multi-criteria convex quadratic programming model for credit data analysis
    • Peng, Y., Kou, G., Shi, Y., & Chen, Z. (2008b). A multi-criteria convex quadratic programming model for credit data analysis. Decision Support Systems, 44(4), 1016-1030.
    • (2008) Decision Support Systems , vol.44 , Issue.4 , pp. 1016-1030
    • Peng, Y.1    Kou, G.2    Shi, Y.3    Chen, Z.4
  • 27
    • 84948481845 scopus 로고
    • An algorithm for suffix stripping
    • Porter, M. F. (1980). An algorithm for suffix stripping. Program, 14(3), 130-137.
    • (1980) Program , vol.14 , Issue.3 , pp. 130-137
    • Porter, M.F.1
  • 29
    • 0016572913 scopus 로고
    • A vector space model for information retrieval
    • Salton, G., Wong, A., & Yang, C. S. (1975). A vector space model for information retrieval. Communications of the ACM, 18(11), 613-620.
    • (1975) Communications of the ACM , vol.18 , Issue.11 , pp. 613-620
    • Salton, G.1    Wong, A.2    Yang, C.S.3
  • 31
    • 33746185690 scopus 로고    scopus 로고
    • Classifying credit card accounts for business intelligence and decision making: a multiple-criteria quadratic programming approach
    • Shi, Y., Peng, Y., Kou, G., & Chen, Z. (2005). Classifying credit card accounts for business intelligence and decision making: a multiple-criteria quadratic programming approach. International Journal of Information Technology and Decision Making, 4(4), 1-19.
    • (2005) International Journal of Information Technology and Decision Making , vol.4 , Issue.4 , pp. 1-19
    • Shi, Y.1    Peng, Y.2    Kou, G.3    Chen, Z.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.