|
|
 |
|
 |
Volume 37, Number 1, 1998
Internet Computing |
|
Table of contents:  HTML ASCII |
|
This article: HTML ASCII |
Copyright info |
|
|
|
|
| |
|
SpeedTracer: A Web usage mining and analysis tool - References |
|
by K.-L. Wu,
P. S. Yu, and
A. Ballman
|
|
|
|
Cited references and notes
- The uniform resource locator is used to uniquely identify
a resource on the Internet. An example of a URL is
"http://www.ibm.com/," which represents the IBM home page on the
Internet.
- HyperText Transfer Protocol is the basic protocol used by the
Web to transfer documents between a browser and a Web server.
- J. Pitkow, "In Search of Reliable Usage Data on the WWW,"
Proceedings of Sixth International World Wide Web Conference
(1997).
- The National Center for Supercomputing Applications is
located in the University of Illinois at Urbana-Champaign, Illinois.
- NCSA HTTPd is an HTTP/1.0-compatible server for making
hypertext and other documents available to Web browsers. It is
copyrighted by the University of Illinois and owned by the university.
- SpeedTracer is available for download from IBM
Alpha-Works™ at
http://www.alphaworks.ibm.com.
- B. Mobasher et al., Web Mining: Pattern Discovery from
World Wide Web Transactions, Technical Report 96-050, Department
of Computer Science, University of Minnesota, Minneapolis (September
1996).
- P. Pirolli, R. Rao, and J. Pitkow, "Silk from a Sow's Ear:
Extracting Usable Structures from the Web," Proceedings of 1996
Conference on Human Factors in Computing Systems (1996), pp.
118-125.
- R. Agrawal, T. Imielinski, and A. Swami, "Mining
Association Rules Between Sets of Items in Large Databases,"
Proceedings of ACM SIGMOD International Conference on Management
of Data (1993), pp. 207-216.
- R. Agrawal and R. Srikant, "Fast Algorithms for Mining
Association Rules in Large Databases," Proceedings of Very
Large Data Bases (1994), pp. 478-499.
- J. Han and Y. Fu, "Discovery of Multiple-Level Association
Rules from Large Databases," Proceedings of the 21st VLDB
Conference (1995), pp. 420-431.
- J.-S. Park, M.-S. Chen, and P. S. Yu, "An Effective
Hash Based Algorithm for Mining Association Rules," Proceedings
of ACM SIGMOD International Conference on Management of Data
(1995), pp. 175-186.
- R. Agrawal and R. Srikant, "Mining Sequential Patterns,"
Proceedings of 11th International Conference on Data
Engineering (1995), pp. 3-14.
- M.-S. Chen, J. S. Park, and P. S. Yu, "Data Mining
for Path Traversal Patterns in a Web Environment," Proceedings
of International Conference on Distributed Computing Systems
(1996), pp. 385-392.
|
|
|
|
