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Huebner Exploratory data mining is specifically designed to help the user explore the data and find interesting information buried within the large data that he or she is sifting through. There is so much data that we have within higher educational institutions, that we ought to begin converting that data into useful information and subsequently, knowledge! Data mining is clearly one way that higher education can gain much more knowledge about its customers and target customers. REFERENCES Brown, M., & Kros, J. (2003). Data mining and the impact of missing data. Industrial Management & Data Systems, Volume 103, Number 8, 611-621. Chen, Y., Chen, J., & Tung, C. (2006). A data mining approach for retail knowledge discovery with consideration of the effect of shelf-space adjacency on sales. Decision Support Systems, Volume 42, 1503-1520. Dringus, L., & Ellis, T. (2005). Using data mining as a strategy for assessing asynchronous discussion forums. Computers & Education, Volume 45, 141-160. Dunham, M. (2003). Data Mining: Introductory and Advanced Topics. Upper Saddle River, NJ: Pearson Education. Elmasri, R., & Navathe, S. (2007). Fundamentals of Database Systems (5th ed.). Boston: Addison Wesley. Fayyad, U., Piatetsky-Shapiro, G., & Smyth, P. (1996). From data mining to knowledge discovery: An overview. In U. Fayyad, G. Piatetsky-Shapiro, P. Smyth & R. Uthurusamy (Eds.), Advances in Knowledge Discovery and Data Mining (pp. 1-24). Boston: MIT Press. GAO. (2004). Data Mining: Federal Efforts Cover a Wide Range of Uses [Electronic Version]. Retrieved October 2, 2007 from http://www.gao.gov/new.items/d04548.pdf. Lo, V. S. Y. (2002). The True Life Model - A Novel Data Mining Approach to Response Modeling in Database Marketing. SIGKDD Explorations, Volume 4, Number 2, 78-86. Nemati, H., & Barko, C. (2004a). Organizational Data Mining (ODM): An Introduction. In H. Nemati & C. Barko (Eds.), Organizational Data Mining. Hershey, PA: Idea Group Publishing. Nemati, H., & Barko, C. (Eds.). (2004b). Organizational Data Mining. Hershey, PA: Idea Group Publishing. Olson, D., & Shi, Y. (2007). Introduction to Business Data Mining. New York, NY: McGraw- Hill. Ordonez, C. (2006). Medical data mining and applications: Comparing association rules and decision trees for disease prediction. Proceedings of the International Workshop on Healthcare Information and Knowledge Managment, 17-24. ASBBS E-Journal, Volume 4, No.1, 2008 62
Mining for Knowledge..Higher Ed Solomon, S., Nguyen, H., Liebowitz, J., & Agresti, W. (2006). Using data mining to improve traffic safety programs. Industrial Management & Data Systems, Volume 106, Number 5, 621-643. SPSS. (2006, November 5, 2006). CRISP-DM 1.0: Step-by-step data mining guide. from http://www.spss.com Witten, I., & Frank, E. (2005). Data Mining: Practical Machine Learning Tools and Techniques (2nd ed.). San Francisco, CA: Morgan Kaufmann. ASBBS E-Journal, Volume 4, No.1, 2008 63
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ASBBS eJournal Volume 4, No.1, 2008
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THE SUPREME COURT GRANTS CERTIORARI
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Deductibility of investment fees…
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Koyame-Marsh UNITA’s war against
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Koyame-Marsh Given the fact that fo
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Koyame-Marsh Box 2. Selected Socio-
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Koyame-Marsh CONCLUSION The paper a
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Koyame-Marsh Nations Homepage, 12 A
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MacArthur, Houmes and Stranahan vol
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MacArthur, Houmes and Stranahan OLi
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MacArthur, Houmes and Stranahan Kei
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Lavin was in prior years. When I go
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THE SPIRITUAL DIMENSION OF QUALITY:
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Spiritual Dimension ..Biblical Pers
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HOUSING INVESTMENT AND PROPERTY TAX
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Table 1. Summary Statistics of Soci
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Property Taxes in Indiana new housi
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Property Taxes in Indiana In 20 03
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ABSTRACT Major trends in hotel gues
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Hotel Guestroom Technology The impa
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Hotel Guestroom Technology ourselve
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Hotel Guestroom Technology booking
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Hotel Guestroom Technology Most peo
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Hotel Guestroom Technology Minibar
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AN HISTORICAL PERSPECTIVE OF ACCOUN
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Accounting for Income Taxes 1920-19
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SUSTAINABLE GROWTH MODELING: A LONG
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Growth …Analysis of Harley-Davids
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Growth …Analysis of Harley-Davids
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FIRM EXPANSION AND REGIONAL DEVELOP
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Importance of Geographic Space and
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INNOVATIVE HRM: HOW HR ACTIVITIES C
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Innovative HRM intention would be t
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strategy implementation best. It se
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Innovative HRM It must be noted tha
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approach to compensation does not o
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Allied Signal, Dupont, Honeywell, B
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Figure 5: General Schemata of BSC:
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Innovative HRM where open communica
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Zomorrodian, A (1999) “Learning O
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