Marketing intelligent system for customer segmentation

Studies in Fuzziness and Soft Computing

Volumn 258, Issue , 2010, Pages 79-111

  Markic, Brano ^a   Tomic, Drazena ^a  

^a UNIVERSITY OF MOSTAR   (Bosnia and Herzegovina)

Author keywords

fuzzy c means clustering; market segmentation; marketing intelligent system

Indexed keywords

EID: 77958168176     PISSN: 14349922     EISSN: None     Source Type: Book Series    
DOI: 10.1007/978-3-642-15606-9_10     Document Type: Article

References (24)

1. Bezdek, J. C.: Pattern Recognition with Fuzzy Objective Function Algoritms. Plenum Press, New York (1981)
2. Buttle, F.: Customer Relationship management, Concepts and Technologies, 2nd edn. Elsevier, Amsterdam (2009)
3. Chiu, S., Domingo, T.: Data Mining and Market Intelligence for Optimal Marketing Returns, Jordan Hill, Oxford OX28DP, Elsevier (2008)
4. Davies, D. L., Bouldin, D. W.: A cluster separation measure. IEEE Transactions on Pattern Analysis and Machine Intelligence 1(2), 224-227 (1979)
5. Dunn, J. C.: A Fuzzy Relative of the ISODATA Process and Its Use in Detecting Compact Well-Separated Clusters. Journal of Cybernetics 3, 32-57 (1973)
6. Fayyad, U. M., Piatetsky-Shapiro, G., Smyth, S., Uthurusamy, R.: Advances in Knowledge Discovery and Data Mining. MIT Press, Cambridge (1996)
7. Han, J., Kamber, M.: Data Mining: Concepts and Techniques. Morgan Kaufman, San Francisco (2000)
8. Hastie, T., Tibshirani, R., Friedman, J.: The Elements of Statistical Learning. Springer, New York (2001)
9. Bezdek, J. C.: Fuzzy Mathemathics in Pattern Classification. PhD Thesis, Applied Math. Center, Cornell University, Ithaca (1973)
10. KantardŽić, M.: Data Mining: Concepts, Models, Methods, and Algorithms. Wiley-Interscience, Piscataway (2003)
11. Kimball, R.: The data warehouse toolkit. Wiley, Chichester (1998)
12. Looney, C. G.: Interactive clustering and merging with a new fuzzy expected value. Pattern Recognition Lett. 35, 187-197 (2002)
13. Markić, B., Tomić, D.: Executive information system for customers clustering, DruŠtvo i tehnologija, Medunarodni simpozij, Hrvatska, Zadar (2005)
14. Markić, B., Tomić, D.: Integrating cluster algorithms and expert systems. In: The 8th International Conference Modern Technologies in Manufacturing, Technical University of Cluj-Napoca, Romania (October 2005)
15. Markić, B., Tomić, D.: Software solutions in marketing research for knowledge discovery in databases by fuzzy clustering. Informatologija, Zagreb 39(4), 240-244 (2006)
16. Markić, B., Tomić, D.: Building software agents for market segementation, Baden Baden (2006)
17. Joel, M.: Murach's Visual Basic 2008. Mike Murach & Associates, Inc. (2008)
18. Joel, M.: Murach's SQL Server 2005 for Developers. Mike Murach & Associates, Inc. (2008)
19. Rainer, M.: Intelligent Information Systems (SS 2009), http://www.informatik.uni-bonn. de/~manthey/IIS09/
20. Shuliang, L., Barry, D., Edwards, J., Kinman, R., Duan, Y.: Integrating group Delphi, fuzzy logic and expert systems for marketing strategy development: the hybridisation and its effectiveness. Journal: Marketing Intelligence & Planning 20(5), 273-284 (2002)
21. Ryu, T.-W., Eick, C. F.: A Database Clustering Methodology and Tool, Department of Computer Science University of Houston, Information Science in Spring (2005)
22. Teknomo, K.: K-Means Clustering Tutorials, http:\\people.revoledu.com\ kardi\tutorial\kMean\
23. Turban, E., Aronson, J. E., Liang, T.-P.: Decision Support Systems and Intelligent Systems, 7th edn. Pearson, Prentice Hall (2005)
24. Witten, I. H., Frank, E.: Data Mining. Academic Press, London (2000)