Mining association rules between sets of items in large databases
SIGMOD '93 Proceedings of the 1993 ACM SIGMOD international conference on Management of data
Fast discovery of association rules
Advances in knowledge discovery and data mining
An Extension to SQL for Mining Association Rules
Data Mining and Knowledge Discovery
ICDE '95 Proceedings of the Eleventh International Conference on Data Engineering
An XML-enabled data mining query language: XML-DMQL
International Journal of Business Intelligence and Data Mining
Data and web management research at Politecnico di Milano
ACM SIGMOD Record
Bottom-up discovery of frequent rooted unordered subtrees
Information Sciences: an International Journal
Mining Tree-Based Frequent Patterns from XML
FQAS '09 Proceedings of the 8th International Conference on Flexible Query Answering Systems
Mining flexible association rules from XML
Proceedings of the 2009 EDBT/ICDT Workshops
Logic-Based association rule mining in XML documents
APWeb'06 Proceedings of the 2006 international conference on Advanced Web and Network Technologies, and Applications
Complex association rules for XML documents
KES'05 Proceedings of the 9th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part I
An XML-based database for knowledge discovery
EDBT'06 Proceedings of the 2006 international conference on Current Trends in Database Technology
A structure preserving flat data format representation for tree-structured data
PAKDD'11 Proceedings of the 15th international conference on New Frontiers in Applied Data Mining
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Data mining algorithms are designed to extract interesting information from large amounts of data. They usually assume that source data are in relational (tabular) from. However, the recent success of XML as a standard to represent semi-structured data and the increasing amount of data available in XML pose new challenges to the data mining community. In this paper we introduce association rules for XML data. To accomplish this, we propose a new operator, based on XPath and inspired by the syntax of XQuery, which allows us to express complex mining tasks, compactly and intuitively. The operator can indifferently (and simultaneously) target both the content and the structure of the data, since the distinction in XML is slight.