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 Algorithms for Mining Association Rules in Large Databases
VLDB '94 Proceedings of the 20th International Conference on Very Large Data Bases
Mining Association Rules from XML Data
DaWaK 2000 Proceedings of the 4th International Conference on Data Warehousing and Knowledge Discovery
Xyleme: A Dynamic Warehouse for XML Data of the Web
IDEAS '01 Proceedings of the International Database Engineering & Applications Symposium
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
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
Data Centric Transformations on Non-Integer Iteration Spaces
Proceedings of the 14th International Conference on Parallel Architectures and Compilation Techniques
Efficient mining of frequent XML query patterns with repeating-siblings
Information and Software Technology
Tree model guided candidate generation for mining frequent subtrees from XML documents
ACM Transactions on Knowledge Discovery from Data (TKDD)
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
Bottom-up discovery of frequent rooted unordered subtrees
Information Sciences: an International Journal
Mining association rules in tree structured XML data
Proceedings of the 2nd International Conference on Interaction Sciences: Information Technology, Culture and Human
Mining Tree-Based Frequent Patterns from XML
FQAS '09 Proceedings of the 8th International Conference on Flexible Query Answering Systems
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
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
Positive and negative association rule mining on XML data streams in database as a service concept
Expert Systems with Applications: An International Journal
Using XQuery for problem solving
Software—Practice & Experience
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Data mining is generally considered the extraction and analysis of information from databases. With the rapid growth of XML data available online, mining XML data from the web is becoming important. In support of this trend, several encouraging attempts at developing methods for mining XML data have been proposed. However, efficiency and simplicity are still a barrier for further development In this paper, we show that any XML document can be mined for association rules using only the query language XQuery without any pre-processing or post-processing.