The merge/purge problem for large databases
SIGMOD '95 Proceedings of the 1995 ACM SIGMOD international conference on Management of data
A database perspective on knowledge discovery
Communications of the ACM
Integrating association rule mining with relational database systems: alternatives and implications
SIGMOD '98 Proceedings of the 1998 ACM SIGMOD international conference on Management of data
Data preparation for data mining
Data preparation for data mining
Data mining: practical machine learning tools and techniques with Java implementations
Data mining: practical machine learning tools and techniques with Java implementations
Machine Learning
An Extension to SQL for Mining Association Rules
Data Mining and Knowledge Discovery
MSQL: A Query Language for Database Mining
Data Mining and Knowledge Discovery
Integrating Data Mining with SQL Databases: OLE DB for Data Mining
Proceedings of the 17th 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
Decision Tree Modeling with Relational Views
ISMIS '02 Proceedings of the 13th International Symposium on Foundations of Intelligent Systems
DualMiner: A Dual-Pruning Algorithm for Itemsets with Constraints
Data Mining and Knowledge Discovery
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
Specifying Mining Algorithms with Iterative User-Defined Aggregates
IEEE Transactions on Knowledge and Data Engineering
ExAnte: A Preprocessing Method for Frequent-Pattern Mining
IEEE Intelligent Systems
Introduction to Data Mining, (First Edition)
Introduction to Data Mining, (First Edition)
Answering constraint-based mining queries on itemsets using previous materialized results
Journal of Intelligent Information Systems
KDDML: a middleware language and system for knowledge discovery in databases
Data & Knowledge Engineering
YALE: rapid prototyping for complex data mining tasks
Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining
XQuery
Extending the state-of-the-art of constraint-based pattern discovery
Data & Knowledge Engineering
Optimization of association rule mining queries
Intelligent Data Analysis
Query languages and data models for database sequences and data streams
VLDB '04 Proceedings of the Thirtieth international conference on Very large data bases - Volume 30
Extending XQuery with window functions
VLDB '07 Proceedings of the 33rd international conference on Very large data bases
Data Structure for Association Rule Mining: T-Trees and P-Trees
IEEE Transactions on Knowledge and Data Engineering
BaseX & DeepFS joint storage for filesystem and database
Proceedings of the 12th International Conference on Extending Database Technology: Advances in Database Technology
Integrating decision tree learning into inductive databases
KDID'06 Proceedings of the 5th international conference on Knowledge discovery in inductive databases
A better semantics for XQuery with side-effects
DBPL'07 Proceedings of the 11th international conference on Database programming languages
An XML-based database for knowledge discovery
EDBT'06 Proceedings of the 2006 international conference on Current Trends in Database Technology
Using XQuery for problem solving
Software—Practice & Experience
Discrimination discovery in scientific project evaluation: A case study
Expert Systems with Applications: An International Journal
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With the spreading of XML sources, mining XML data can be an important objective in the near future. This paper presents a project focussed on designing a general-purpose query language in support of mining XML data. In our framework, raw data, mining models and domain knowledge are represented by way of XML documents and stored inside native XML databases. Data mining (DM) tasks are expressed in an extension of XQuery. Special attention is given to the frequent pattern discovery problem, and a way of exploiting domain-dependent optimizations and efficient data structures as deeper as possible in the extraction process is presented. We report the results of a first bunch of experiments, showing that a good trade-off between expressiveness and efficiency in XML DM is not a chimera. Copyright © 2009 John Wiley & Sons, Ltd.