Mining association rules between sets of items in large databases
SIGMOD '93 Proceedings of the 1993 ACM SIGMOD international conference on Management of data
Mining quantitative association rules in large relational tables
SIGMOD '96 Proceedings of the 1996 ACM SIGMOD international conference on Management of data
Generating association rules from semi-structured documents using an extended concept hierarchy
CIKM '97 Proceedings of the sixth international conference on Information and knowledge management
MSQL: A Query Language for Database Mining
Data Mining and Knowledge Discovery
ICDE '97 Proceedings of the Thirteenth International Conference on Data Engineering
ICDE '95 Proceedings of the Eleventh International Conference on Data Engineering
A Tightly-Coupled Architecture for Data Mining
ICDE '98 Proceedings of the Fourteenth International Conference on Data Engineering
Mining in the Phrasal Frontier
PKDD '97 Proceedings of the First European Symposium on Principles of Data Mining and Knowledge Discovery
Discovery of Multiple-Level Association Rules from Large Databases
VLDB '95 Proceedings of the 21th International Conference on Very Large Data Bases
Mining Generalized Association Rules
VLDB '95 Proceedings of the 21th International Conference on Very Large Data Bases
A New SQL-like Operator for Mining Association Rules
VLDB '96 Proceedings of the 22th International Conference on Very Large Data Bases
A perspective on inductive databases
ACM SIGKDD Explorations Newsletter
Extracting association rules from XML documents using XQuery
WIDM '03 Proceedings of the 5th ACM international workshop on Web information and data management
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
Databases, but not as we know them
ADC '04 Proceedings of the 15th Australasian database conference - Volume 27
XAR-miner: efficient association rules mining for XML data
WWW '05 Special interest tracks and posters of the 14th international conference on World Wide Web
Template guided association rule mining from XML documents
Proceedings of the 15th international conference on World Wide Web
Visual Analytics: A 2D-3D visualization support for human-centered rule mining
Computers and Graphics
Answering XML queries by means of data summaries
ACM Transactions on Information Systems (TOIS)
Interactive visual exploration of association rules with rule-focusing methodology
Knowledge and Information Systems
An XML-enabled data mining query language: XML-DMQL
International Journal of Business Intelligence and Data Mining
Warehousing complex data from the web
International Journal of Web Engineering and Technology
A Framework for Data Structure-Guided Extraction of XML Association Rules
ICCS '07 Proceedings of the 7th international conference on Computational Science, Part III: ICCS 2007
In the Search of NECTARs from Evolutionary Trees
DASFAA '09 Proceedings of the 14th International Conference on Database Systems for Advanced Applications
Proceedings of the 2005 conference on Multi-Relational Data Mining
Mining association rules in tree structured XML data
Proceedings of the 2nd International Conference on Interaction Sciences: Information Technology, Culture and Human
Mining flexible association rules from XML
Proceedings of the 2009 EDBT/ICDT Workshops
IQL: a proposal for an inductive query language
KDID'06 Proceedings of the 5th international conference on Knowledge discovery in inductive databases
A new method for mining association rules from a collection of XML documents
ICCSA'05 Proceedings of the 2005 international conference on Computational Science and Its Applications - Volume Part II
Intensional query answering to XQuery expressions
DEXA'05 Proceedings of the 16th international conference on Database and Expert Systems Applications
Pattern based management: data models and architectural aspects
EDBT'04 Proceedings of the 2004 international conference on Current Trends in Database Technology
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The eXtensible Markup Language (XML) rapidly emerged as a standard for representing and exchanging information. The fastgrowing amount of available XML data sets a pressing need for languages and tools to manage collections of XML documents, as well as to mine interesting information out of them. Although the data mining community has not yet rushed into the use of XML, there have been some proposals to exploit XML. However, in practice these proposals mainly rely on more or less traditional relational databases with an XML interface. In this paper, we introduce association rules from native XML documents and discuss the new challenges and opportunities that this topic sets to the data mining community. More specifically, we introduce an extension of XQuery for mining association rules. This extension is used throughout the paper to better define association rule mining within XML and to emphasize its implications in the XML context.