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Additional info for Real World Data Mining Applications (Annals of Information Systems, Volume 17)
However, knowledge management has not been central to data mining research so far. Data mining combined with CBR could be viewed as a general knowledge management and problemsolving tool. The resulting benefits could be better management of resources, greater efficiency and growth (Chan and Chowdhury, 2005). References Agosta, Lou. (2005). Data Warehousing Lessons Learned: Hub-and-Spoke Architecture Favored. DM Review, March 2005. , Womack, C & Yao, Y. (2006). Star or Dimensional Modeling. Assignment in Data Warehousing and Data Mining, Term Paper, WEHCBA, Roosevelt University, Summer 2006.
Chowdhury, S. (2004). Information Architecture for Electronic Customer Relationship Management. Paper presented at the American Society of Business and Behavioral Sciences (ASBBS) conference, 2004. Chowdhury S. (2007a). A Research Proposal on Model Conversion: E-R to Star Model. Roosevelt University, Spring 2007. Chan, J and Chowdhury, S. (2005). Enhancing Customer Services using Case-based Reasoning. Published in the communications of the ICISA – the official journal of the International Chinese Information Systems Association, Vol VII.
Rieger, M. L. (2006). Star Database Model: A comparison of 3 Alternatives with a Recommended Solution. Assignment in Data Warehousing and Data Mining, Term Paper WEHCBA, Roosevelt University. Sankar K. Pal, S. & Shiu C. K. (2004). Foundations of Soft Case-Based Reasoning. Wiley-IEEE, ISBN 0471086355. Sen, A. & Sinha, AP. (2005). A Comparison of Data Warehousing Methodologies. Communications of the ACM, Vol. 48, No. 3, pp. 79-84. Kimball, R and Ross, M. (2002). The Data Warehouse Toolkit. 2nd ed.