Dynamic itemset counting and implication rules for market basket data
SIGMOD '97 Proceedings of the 1997 ACM SIGMOD international conference on Management of data
Real world performance of association rule algorithms
Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining
What Makes Patterns Interesting in Knowledge Discovery Systems
IEEE Transactions on Knowledge and Data Engineering
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
Dynamic web log session identification with statistical language models
Journal of the American Society for Information Science and Technology - Special issue: Webometrics
Mining interesting knowledge from weblogs: a survey
Data & Knowledge Engineering
Mining web navigations for intelligence
Decision Support Systems - Special issue: Intelligence and security informatics
Mining frequent tree-like patterns in large datasets
Data & Knowledge Engineering
Computational Intelligence techniques for Web personalization
Web Intelligence and Agent Systems
Mining web navigations for intelligence
Decision Support Systems - Special issue: Intelligence and security informatics
A web page usage prediction scheme using sequence indexing and clustering techniques
Data & Knowledge Engineering
Bayesian approaches to ranking sequential patterns interestingness
PRICAI'06 Proceedings of the 9th Pacific Rim international conference on Artificial intelligence
Mining Web navigation patterns with a path traversal graph
Expert Systems with Applications: An International Journal
Mining actionable partial orders in collections of sequences
ECML PKDD'11 Proceedings of the 2011 European conference on Machine learning and knowledge discovery in databases - Volume Part I
Closeness Preference - A new interestingness measure for sequential rules mining
Knowledge-Based Systems
Pattern-based solution risk model for strategic IT outsourcing
ICDM'13 Proceedings of the 13th international conference on Advances in Data Mining: applications and theoretical aspects
| Hi-index | 0.00 |
Livelink is a collaborative intranet, extranet and e-business application that enables employees and business partners of an organization to capture, share and reuse business information and knowledge. The usage of the Livelink software has been recorded by the Livelink Web server in its log files. We present an application of data mining techniques to the Livelink Web usage data. In particular, we focus on how to find interesting association rules and sequential patterns from the Livelink log files. A number of interestingness measures are used in our application to identify interesting rules and patterns. We present a comparison of these measures based on the feedback from domain experts. Some of the interestingness measures are found to be better than others.