Segmenting customers by transaction data with concept hierarchy

Expert Systems with Applications

Volumn 39, Issue 6, 2012, Pages 6221-6228

  Hsu, Fang Ming ^a   Lu, Li Pang ^a   Lin, Chun Min ^a,b  

^a NATIONAL DONG HWA UNIVERSITY   (Taiwan)

^b Taiwan Hospitality and Tourism College   (Taiwan)

Author keywords

Concept hierarchy; Customer segmentation; Hierarchical clustering

Indexed keywords

CLUSTER VALIDATION; CLUSTERING CUSTOMERS; CONCEPT HIERARCHIES; CONCEPT LEVELS; CUSTOMER SEGMENTATION; HIER-ARCHICAL CLUSTERING; HIERARCHICAL CLUSTERING METHODS; IN-DEPTH UNDERSTANDING; NUMBER OF CLUSTERS; PROMOTION STRATEGIES; SEGMENTATION METHODS; TRANSACTION DATA;

CUSTOMER SATISFACTION;

SALES;

EID: 84856522902     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2011.12.005     Document Type: Article

References (31)

1. M. Böttcher, M. Spott, D. Nauck, and R. Kruse Mining changing customer segments in dynamic markets Expert Systems with Applications 36 2009 155 164
2. J.Z. Bloom Market segmentation: A neural network application Annals of Tourism Research 32 2005 93 111 (Pubitemid 40306692)
3. M.-C. Chen, A.-L. Chiu, and H.-H. Chang Mining changes in customer behavior in retail marketing Expert Systems with Applications 28 2005 773 781 (Pubitemid 40583855)
4. C.-H. Cheng, and Y.-S. Chen Classifying the segmentation of customer value via RFM model and RS theory Expert Systems with Applications 36 2009 4176 4184
5. M.Y. Cheong, and H. Lee Determining the number of clusters in cluster analysis Journal of the Korean Statistical Society 37 2008 135 143
6. W.H.E. Day, and H. Edelsbrunner Efficient algorithms for agglomerative hierarchical clustering methods journal of Classification 1 1984 7 24
7. S. Dibb, and P. Stern Questioning the reliability of market segmentation techniques Omega 23 1995 625 636
8. R.O. Duda, P.E. Hart, and D.G. Stork Pattern classification 2nd ed. 2001 John Wiley & Sons New York
9. T. Eckes An error variance approach to 2-mode hierarchical clustering journal of Classification 10 1993 51 74
10. A. Hardy On the number of clusters Computational Statistics & Data Analysis 23 1996 83 96
11. S.M.S. Hosseini, A. Maleki, and M.R. Gholamian Cluster analysis using data mining approach to develop CRM methodology to assess the customer loyalty Expert Systems with Applications 37 2010 5259 5264
12. J.-J. Huang, G.-H. Tzeng, and C.-S. Ong Marketing segmentation using support vector clustering Expert Systems with Applications 32 2007 313 317 (Pubitemid 44647800)
13. L. Hubert, and J. Schultz Quadratic assignment as a general data-analysis strategy British Journal of Mathematical and Statistical Psychology 29 1976 190 241
14. A.M. Hughes Strategic database marketing 1994 Probus Publishing Company Chicago
15. H. Hwang, T. Jung, and E. Suh An LTV model and customer segmentation based on customer value: A case study on the wireless telecommunication industry Expert Systems with Applications 26 2004 181 188
16. L. Kaufman, and P.J. Rousseeuw Finding groups in data: An introduction to cluster analysis 1990 Wiley New York
17. S.-Y. Kim, T.-S. Jung, E.-H. Suh, and H.-S. Hwang Customer segmentation and strategy development based on customer lifetime value: A case study Expert Systems with Applications 31 2006 101 107 (Pubitemid 43344266)
18. T. Kohonen Self-organizing formation of topologically correct feature maps Biological Cybernetics 43 1982 59 69 (Pubitemid 12139984)
19. R. Kothari, and D. Pitts On finding the number of clusters Pattern Recognition Letters 20 1999 405 416 (Pubitemid 29377623)
20. R.J. Kuo, L.M. Ho, and C.M. Hu Integration of self-organizing feature map and K-means algorithm for market segmentation Computers & Operations Research 29 2002 1475 1493 (Pubitemid 34573192)
21. J.H. Lee, and S.C. Park Intelligent profitable customers segmentation system based on business intelligence tools Expert Systems with Applications 29 2005 145 152 (Pubitemid 40454400)
22. Y. Li, Z.A. Bandar, and D. McLean An approach for measuring semantic similarity between words using multiple information sources Knowledge and Data Engineering, IEEE Transactions on 15 2003 871 882
23. T.-C. Lu, and K.-Y. Wu A transaction pattern analysis system based on neural network Expert Systems with Applications 36 2009 6091 6099
24. G.W. Milligan, and M.C. Cooper An examination of procedures for determining the number of clusters in a data set PSYCHOMETRIK 1985 50
25. E.W.T. Ngai, L. Xiu, and D.C.K. Chau Application of data mining techniques in customer relationship management: A literature review and classification Expert Systems with Applications 36 2009 2592 2602
26. E.J. Pauwels, and G. Frederix Finding salient regions in images: Nonparametric clustering for image segmentation and grouping Computer vision and image understanding 75 1999 73 85
27. P.J. Rousseeuw Silhouettes: A graphical aid to the interpretation and validation of cluster analysis Journal of Computational and Applied Mathematics 1987 20
28. C.-Y. Tsai, and C.-C. Chiu A purchase-based market segmentation methodology Expert Systems with Applications 27 2004 265 276
29. C.-Y. Tsai, and Y.-C. Shieh A change detection method for sequential patterns Decision Support Systems 46 2009 501 511
30. A. Vellido, P.J.G. Lisboa, and K. Meehan Segmentation of the on-line shopping market using neural networks Expert Systems with Applications 17 1999 303 314 (Pubitemid 129667301)
31. P.C. Verhoef, and B. Donkers Predicting customer potential value an application in the insurance industry Decision Support Systems 32 2001 189 199 (Pubitemid 32951236)