Databases Reference
In-Depth Information
Cooley, R., Mobasher, B., & Srivastava, J. (1999). Data preparation for mining World Wide
Web browsing patterns.
Journal of Knowledge and Information Systems, 1
(1), 5-32.
Dyreson, C. (1997). Using an incomplete data cube as a summary data sieve.
Bulletin of the
IEEE Technical Committee on Data Engineering,
19-26.
Fong, J., & Huang, S. (1997).
Information systems reengineering
. Springer Verlag, 79-
212.
Fong, J., & Huang, S. (1999). Architecture of a universal database: A frame model approach.
International Journal of Cooperative Information Systems, 8
(1), 47-82.
Fong, J., & Pang, F. (1999). Schema evolution for new database applications: A frame
metadata model approach.
Proc. of Systems, Cybernetics and Informatics
(Vol. 5,
pp. 104-111).
Fong, J., & Zeng, X. (1997). Data warehouse for decision support.
Proc. of the 8th Inter-
national Database Workshop
(pp. 195-207).
Fong, J., Wong, H.K., & Fong, A. (2000a). Online analytical mining web-pages tick se-
quences.
Journal of Data Warehousing, 5
(4), 59-68.
Fong, J., Wong, H.K., & Fong, A. (2000b). Online analytical mining association rules on
web-pages tick sequences.
The Second International Workshop on Information Inte-
gration and Web-based Applications & Services,
81-94.
Fukuda, T., Morimoto, Y., Morishita, S., & Tokuyama T. (1996). Data mining using two-
dimensional optimized association rules: Scheme, algorithms, and visualization.
ACM,
13-23.
Gray, J., Chaudhuri, S., Bosworth, A., Layman, A., Reichart, D., Venkatrao, M., Pellow, F., &
Pirahesh, H. (1997). Data cube: A relational aggregation operator generalizing group-
by, cross-tab and sub-totals.
Data Mining and Knowledge Discovery, 1,
29-54.
Griffi n, T., & Libkin, L. (1995). Incremental maintenance of views with duplicates.
Proc.
of the International Conference on Management of Data.
Gupta, A., & Mumick, I. (1995). Maintenance of materialized views: Problems, techniques,
and applications.
IEEE Data Engineering Bulletin, Special Issues on Materialized
Views and Warehousing, 18
(2).
Han, E.H., Karypis, G., & Kumar, V. (1997). Scalable parallel data mining for association
rules.
ACM,
277-288.
Han, J., & Fu, Y. (1995). Discovery of multiple-level association rules from large databases.
Proc. 1995 Int. Conf. Very Large Databases
(pp. 420-431).
Han, J., & Kamber, M. (2001).
Data mining: Concepts and techniques.
Morgan Kaufmann
Publishers.
Harinarayan, V., Rajaraman, A., & Ullman, J.D. (1996). Implementing data cubes effi ciently.
Proc. 1996 ACM-SIGMOD Int. Conf. Management of Data
(pp. 205-216).
Inmon, W.H. (1996). The data warehouse and data mining.
Communication of the ACM,
39
(11).
Klemettinen, M., Mannila, H., Ronkainen, P., Toivonen, H., & Verkamo, A.I. (1994). Finding
interesting rules from large sets of discovered association rules.
Proc. 3rd Int. Conf.
Information and Knowledge Management
(pp. 401-408).
Information and Knowledge Management
Mannila, H., Toivonen, H., & Verkamo, A.I. (1995). Discovering frequent episodes in se-
quences.
Proc. 1995 Int. Conf. on Knowledge Discovery and Data Mining (KDD'95)
(pp. 210-215).
Masseglia, F., Poncelet, P., & Cicchetti, R. (1999). An effi cient algorithm for web usage
mining.
Networking and Information Systems Journal, 2
(5-6), 571-603.
Information and Knowledge Management
(pp. 401-408).