Characterizing browsing strategies in the World-Wide Web
Proceedings of the Third International World-Wide Web conference on Technology, tools and applications
Towards adaptive Web sites: conceptual framework and case study
Artificial Intelligence - Special issue on Intelligent internet systems
Now or Never: How Companies Must Change Today to Win the Battle for Internet Consumers
Now or Never: How Companies Must Change Today to Win the Battle for Internet Consumers
Web log data warehousing and mining for intelligent web caching
Data & Knowledge Engineering - Building web warehouse
Using a Hash-Based Method with Transaction Trimming for Mining Association Rules
IEEE Transactions on Knowledge and Data Engineering
Efficient Data Mining for Path Traversal Patterns
IEEE Transactions on Knowledge and Data Engineering
SLIQ: A Fast Scalable Classifier for Data Mining
EDBT '96 Proceedings of the 5th International Conference on Extending Database Technology: Advances in Database Technology
ICDE '95 Proceedings of the Eleventh International Conference on Data Engineering
Fast Algorithms for Mining Association Rules in Large Databases
VLDB '94 Proceedings of the 20th International Conference on Very Large Data Bases
SPRINT: A Scalable Parallel Classifier for Data Mining
VLDB '96 Proceedings of the 22th International Conference on Very Large Data Bases
Data Mining and Personalization Technologies
DASFAA '99 Proceedings of the Sixth International Conference on Database Systems for Advanced Applications
TIME '97 Proceedings of the 4th International Workshop on Temporal Representation and Reasoning (TIME '97)
Determining WWW User's Next Access and Its Application to Pre-fetching
ISCC '97 Proceedings of the 2nd IEEE Symposium on Computers and Communications (ISCC '97)
A practical extension of web usage mining with intentional browsing data toward usage
Expert Systems with Applications: An International Journal
A novel prediction model based on hierarchical characteristic of web site
Expert Systems with Applications: An International Journal
Mining Web navigation patterns with a path traversal graph
Expert Systems with Applications: An International Journal
Interpreting the web-mining results by cognitive map and association rule approach
Information Processing and Management: an International Journal
Expert Systems with Applications: An International Journal
Knowledge discovery of weighted RFM sequential patterns from customer sequence databases
Journal of Systems and Software
Hi-index | 12.06 |
Many researches have developed Web usage mining (WUM) algorithms utilizing Web log records in order to discover useful knowledge to be used in supporting business applications and decision making. The quality of WUM in knowledge discovery, however, depends on the algorithm as well as on the data. This research explores a new data source called intentional browsing data (IBD) for potentially improving the effectiveness of WUM applications. IBD is a category of online browsing actions, such as ''copy'', ''scroll'', or ''save as,'' and is not recorded in Web log files. Consequently, the research aims to build a basic understanding of IBD which will lead to its easy adoption in WUM research and practice. Specifically, this paper formally defines IBD and clarifies its relationships with other browsing data via a proposed taxonomy. In order to make IBD available like Web log files, an online data collection mechanism for capturing IBD is also proposed and discussed. The potential benefits of IBD can be justified in terms of its enhancing and complementary effectiveness, which are illustrated by the rule implications of Web transaction mining algorithm for an EC application. Introducing IBD opens up the scope of WUM research and applications in knowledge discovery.