Database Reference
In-Depth Information
Masseglia, F., Poncelet, P., & Teisseire, M. (1999). Using data mining techniques on web
access logs to dynamically improve hypertext structure.
ACM SigWeb Letters, 8
(3),
13-19.
Masseglia, F., Poncelet, P., & Teisseire, M. (2000). Web usage mining: How to effi ciently
manage new transactions and new clients.
Proc. of the 4th European Conference on
Principles of Data Mining and Knowledge Discovery (PKDD'00)
(pp. 530-535).
Miller, R.J., & Yang, Y. (1997). Association rules over interval data.
Proc. 1997 ACMSIG-
MOD Int. Conf. Management of Data
(pp. 452-461).
Mobasher, B., Jain, N., Han, E., & Srivastava, J. (1996).
Web mining: Pattern discovery
from world wide web transactions.
Technical Report TR 96-050, Dept. of Computer
Science, University of Minnesota.
Mohania, M., Madria, S., & Kambayashi, Y. (1999).
Self-maintainable aggregate views.
Proc. of the 9th International Database Conference
(pp. 306-317).
net.Genesis.
(1996). [Online]. Available: http://www.netgen.com
Ng, R., Lakshmanan, L.V.S., Han, J., & Pang, A. (1998). Exploratory mining and pruning
optimizations of constrained association rules.
Proc. 1998 ACM-SIGMOD Int. Conf.
Management of Data
(pp. 13-24).
Oates, T., & Cohen, P.R. (1996). Searching for structure in multiple streams of data.
Proc.
of 13th Int. Conference on Machine Learning (ICML'96)
(pp. 346-354).
Open Market Inc. (1996).
Open market web reporter.
[Online]. Available: http://www.
openmarket.com.
Park, J.S., Chen, M.S., & Yu, P.S. (1995a). An effective hash-based algorithm for mining
association rules.
Proc. 1995 ACM-SIGMOD Int. Conf. Management of Data
(pp.
175-186).
Park, J.S., Chen, M.S., & Yu, P.S. (1995b). Effi cient parallel mining for association rules.
Proc. 4th Int. Conf. Information and Knowledge Management
(pp. 31-36).
Proc. 4th Int. Conf. Information and Knowledge Management
Pitkow, J., & Bharat, K.K. (1994).
Webviz: A tool for world-wide web access log analysis
.
First International WWW Conference.
Ross, K., Srivastava, D., & Sudarshan, S. (1996). Materialized view maintenance and integ-
rity constraint checking: Trading space for time.
Proc. of the International Conference
on Management of Data.
Roussopoulos, N. (1997). Materialized views and data warehouses.
KRDB, SIGMOD
Conference,
316-327.
Savasere, A., Omiecinski, E., & Navathe, S. (1995). An effi cient algorithm for mining as-
sociation rules in large databases.
Proc. 1995 Int. Conf. Very Large Databases
(pp.
32-443).
Segev, A., & Park, J. (1989). Maintaining materialized views in distributed materialized
views.
Proceedings of the IEEE International Conference on Data Engineering.
Software Inc. Webtrends
. (1995). [Online]. Available: http://www.webtrends.com
Srikant, R., & Agrawal, R. (1995). Mining generalized association rules.
Proc. 1995 Int.
Conf. Very Large Data Bases
(pp. 407-419).
Srikant, R., & Agrawal, R. (1996a). Mining quantitative association rules in large relational
tables.
Proc. 1996 ACM-SIGMOD Int. Conf. Management of Data
(pp. 1-12).
Srikant, R., & Agrawal, R. (1996b). Mining sequential patterns: Generalizations and per-
formance improvements.
Proc. 5th Int. Conf. Extending Database Technology
(pp.
3-17).
Proc. 4th Int. Conf. Information and Knowledge Management
(pp. 31-36).
