|
Ahmed, S. (2004). Applications of Data Mining in Retail Business. IEEE Computer Society, 2( ), 455-459. Arnett, D., German, S., & Hunt, S. (2003). The identity salience model of relationship marketing success: the case of nonprofit marketing. Journal of Marketing, 67(2), 89-105. Baade, R., & Sundberg, J. (1996). What determines alumni generosity? Economics of Education Review, 15(1), 75-81. Belfield, C., & Beney, A. (2000). What determines alumni generosity? Evidence for the UK. Education Economics, 8(1), 65-80. Bekkers, R., & Wiepking, P (2007). Generosity and philanthropy: A literature review. Bendoly, E. (2003). Theory and Support for Process Frameworks of Knowledge Discovery and Data Mining from ERP Systems, Information and Management, 40, 7, 639-647. Berry, M., & Linoff, G. (2004). Data mining techniques: for marketing, sales, and customer relationship management: Wiley New York. Bolloju, N., Khalifa, M. and Turban, E. (2002). Integrating Knowledge Management into Enterprise Environments for the Next Generation Decision Support, Decision Support Systems, 33, 2, 163-176. Bruggink, T., & Siddiqui, K. (1995). An Econometric Model of Alumni Giving: A Case Study for a Liberal Arts College. American Economist, 39(2), 53-60. Bryant, W., Jeon-Slaughter, H., Kang, H., & Tax, A. (2003). Participation in philanthropic activities: Donating money and time. Journal of Consumer Policy, 26(1), 43-73. Campbell, A. J. (2003). Creating Customer Knowledge Competence: Managing Customer Relationship Management Programs Strategically, Industrial Marketing Management, 32, 5, 375-383. Chen, Y., & Su, C. (2006). A Kano-CKM model for customer knowledge discovery. Total Quality Management & Business Excellence, 17(5), 589-608. Clotfelter, C. T.(2000). Alumni Giving to Elite Private Colleges and Universities.Working Paper. Duke University. Clotfelter, C.T.(2003). Alumni giving to elite private colleges and universities, Economics of Education Review, 22, 2, pp.109–120. Day, G. (1994). The capabilities of market-driven organizations. The Journal of Marketing, 58(4), 37-52. Davenport, T., & Klahr, P. (1998). Managing customer support knowledge. California Management Review, 40, 195-208. E. Ould-Ahmed-Vall, J., Woodlee, C., Yount, K., Doshi., & S. Abraham. (2007) Using model trees for computer architecture performance analysis of software applications, in IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS), pp. 116–125. Giraud-Carrier, C., & Povel, O. (2003). Characterising data mining software. Intelligent Data Analysis, 7(3), 181-192. Gronroos, C. (1990). Relationship approach to marketing in service contexts: the marketing and organizational behavior interface. Journal of business research, 20(1), 3-11. Gummesson, E. (1987). The new marketing?XDeveloping long-term interactive relationships. Long Range Planning, 20(4), 10-20. Gummesson, E. (2002). Relationship marketing in the new economy. Journal of Relationship Marketing, 1(1), 37-57. Harrison, W. (1995). College relations and fund-raising expenditures: Influencing the probability of alumni giving to higher education. Economics of Education Review, 14(1), 73-84. Heckman, R., & Guskey, A. (1998). The relationship between alumni and university: toward a theory of discretionary collaborative behavior. Journal of Marketing Theory and Practice, 6(2), 97-112. Hueston, F. (1992). Predicting alumni giving: A donor analysis test. Fund Raising Management, 23(5), 19-22. Hunt, E.B., Martin, J., Stone, P. (1996). Experiments in Induction. Academic Press, New York. Jackson, B. B. (1985). Build customer relationships that last. Harvard Business Review, 11, 120-128. Jiao, J., Zhang, Y., & Helander, M. (2006). A Kansei mining system for affective design. Expert Systems with Applications, 30(4), 658-673. Kalavathy, R., Suresh, R., & Akhila, R. (2007). KDD and data mining. Paper presented at the IET-UK International Conference on Information and Communication Technology in Electrical Sciences India. Kim, Y. (2006). Toward a successful CRM: variable selection, sampling, and ensemble, Decision Support Systems, vol. 41, no. 2, pp. 542-553. Korvas, R. (1984). The relationship of selected alumni characteristics and attitudes to alumni financial support at a private college. School of Education. University of Missouri-Kansas City. Leslie, L., & Ramey, G. (1988). Donor behavior and voluntary support for higher education institutions. The Journal of Higher Education, 59(2), 115-132. Li, T., & Calantone, R. J. (1998). The impact of market knowledge competence on new product advantage: Conceptualization and empirical examination. Journal of Marketing, 62, 13– 29. Lilien, G., Rangaswamy, A., Van Bruggen, G., & Wierenga, B. (2002). Bridging the marketing theory-practice gap with marketing engineering. Journal of business research, 55(2), 111-121. Lindahl, W., & Winship, C. (1994). A logit model with interactions for predicting major gift donors. Research in Higher Education, 35(6), 729-743. Marakas,G. M. (1995). The discovery-learning DSS: allowing for discovery in the decision process, in: Proceedings of the 28thAnnual Hawaii International Conference on System Sciences, pp. 72–81. Mart?nez, L., Francisco.J., & Casillas, J. (2008). Marketing Intelligent Systems for consumer behaviour modelling by a descriptive induction approach based on Genetic Fuzzy Systems, Industrial Marketing Management, vol. In Press, Corrected Proof. McAlexander, J., & Koenig, H. (2001). University Experiences, the Student-College Relationship, and Alumni Support. Journal of Marketing for Higher Education, 10(3), 21-43. McAlexander, J., Koenig, H., & Schouten, J. (2005). Building a university brand community: The long-term impact of shared experiences. Journal of Marketing for Higher Education, 14(2), 61-79. McGuire, J. (2003). Integrating fund raising with academic planning and budgeting: Toward an understanding of strategic fund raising. Dissertations available from ProQuest. Mitra, S., Pal, S., & Mitra, P. (2002). Data mining in soft computing framework: A survey. IEEE Transactions on Neural Networks, 13(1), 3-14. Monks, J. (2003). Patterns of giving to one's alma mater among young graduates from selective institutions. Economics of Education Review, 22(2), 121-130. Ngai, E., Xiu, L., & Chau, D. (2009). Application of data mining techniques in customer relationship management: A literature review and classification. Expert Systems with Applications, 36(2), 2592-2602. Okunade, A. A. (1996). Graduate school alumni donations to academic funds-micro data evidence. American Journal of Economics and Sociology, 55, 213-229. Okunade, A., & Berl, R. (1997). Determinants of charitable giving of business school alumni. Research in Higher Education, 38(2), 201-214. O'Neil, J., & Schenke, M. (2006). An examination of factors impacting athlete alumni donations to their alma mater: a case study of a US university. International Journal of Nonprofit and Voluntary Sector Marketing, 12(1), 59-74. Paquette, S. (2006). Customer Knowledge Management. Encyclopedia of Knowledge Management, 90-96. Peterson, M., & Rajan, R. (1995). The Effect of Credit Market Competition on Firm-Creditor Relationships. Quarterly Journal of Economics 110. Prahalad, C. K. and G. Hamel (1990), The Core Competence of the Corporation, Harvard Business Review, May-June, 1990, 79-91. Quinlan, J. (1992). Learning with Continuous Classes. Paper presented at the In Proceedings of the Australian Joint Conference on Artificial Intelligence, Singapore. Ruta, Daiva & Virginija (2008). The Model of Creation of Customer Relationship Management (CRM) System. The economic conditions of enterprise functioning,3 (58). S.H. Thomke.(1998). Managing experimentation in the design of new products, Management Science 44, pp. 743–762. Shaw, M., Subramaniam, C., Tan, G., & Welge, M. (2001). Knowledge management and data mining for marketing. Decision Support Systems, 31(1), 127-137. Smith, H. A., & McKeen, J. D. (2005). Customer Knowledge Management: adding value for our customers. Communication of Association for Information Systems, (16),744-755. Stephen. H., & Steve. M. (2004). Using Model Trees to Characterize Computer Resource Usage, in 1st ACM SIGSOFT Workshop on Self-Managed Systems, pp. 80–84. Stutler, D., & Calvario, D. (1996). In alumni support, satisfaction matters. Fund Raising Management, 27(9), 12-13. Thomas, J., & Smart, J. (2005). The Relationship between Personal and Social Growth and Involvement in College and Subsequent Alumni Giving. Online Submission, 31. Turban, E., Aronson, J. E., Liang, T. P., & Sharda, R. (2007). Decision support and business intelligence systems : Pearson Education. Wang, Y., & Witten, I. (1997). Inducing model trees for continuous classes. Paper presented at the In Proceedings of the poster papers of the European Conference on Machine Learning, Prague. Wedgeworth, R. (2000). Donor relations as public relations: toward a philosophy of fund-raising. ILLINOIS, 48(3), 530-539. Weerts, D., & Ronca, J. (2009). Using classification trees to predict alumni giving for higher education. Education Economics, 17(1), 95-122. Wierenga, B., Van Bruggen, G., & Staelin, R. (1999). The success of marketing management support systems. Marketing Science, 18(3), 196-207. X. Hu, (1993). Conceptual Clustering and Concept Hierarchies in Knowledge Discovery, Simon Fraser University, Burnaby, BC.
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