Mining frequent patterns without candidate generation
SIGMOD '00 Proceedings of the 2000 ACM SIGMOD international conference on Management of data
Fast Algorithms for Mining Association Rules in Large Databases
VLDB '94 Proceedings of the 20th International Conference on Very Large Data Bases
A Tool for Extracting XML Association Rules
ICTAI '02 Proceedings of the 14th IEEE International Conference on Tools with Artificial Intelligence
Mining association rules from XML data using XQuery
ACSW Frontiers '04 Proceedings of the second workshop on Australasian information security, Data Mining and Web Intelligence, and Software Internationalisation - Volume 32
ACM SIGMOD Record
Research issues in data stream association rule mining
ACM SIGMOD Record
XML structural delta mining: issues and challenges
Data & Knowledge Engineering - Special issue: ER 2003
Mining Association Rules from Complex and Irregular XML Documents Using XSLT and Xquery
ALPIT '08 Proceedings of the 2008 International Conference on Advanced Language Processing and Web Information Technology
An Active XML-based framework for integrating complex data
Proceedings of the 27th Annual ACM Symposium on Applied Computing
Active XML-based Web data integration
Information Systems Frontiers
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Many applications log a large amount of events continuously. Extracting interesting knowledge from logged events is an emerging active research area in data mining. In this context, we propose an approach for mining frequent events and association rules from logged events in XML format. This approach is composed of two-main phases: I) constructing a novel tree structure called Frequency XML-based Tree (FXT), which contains the frequency of events to be mined; II) querying the constructed FXT using XQuery to discover frequent itemsets and association rules. The FXT is constructed with a single-pass over logged data. We implement the proposed algorithm and study various performance issues. The performance study shows that the algorithm is efficient, for both constructing the FXT and discovering association rules.