C4.5: programs for machine learning
C4.5: programs for machine learning
Data preparation for data mining
Data preparation for data mining
NonStop SQL/MX primitives for knowledge discovery
KDD '99 Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining
Data mining: practical machine learning tools and techniques with Java implementations
Data mining: practical machine learning tools and techniques with Java implementations
Data mining: concepts and techniques
Data mining: concepts and techniques
Data Mining with Microsoft SQL Server 2000 Technical Reference
Data Mining with Microsoft SQL Server 2000 Technical Reference
Web log data warehousing and mining for intelligent web caching
Data & Knowledge Engineering - Building web warehouse
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
FlexiMine – A Flexible Platform for KDD Research and Application Development
Annals of Mathematics and Artificial Intelligence
Adaptive and Resource-Aware Mining of Frequent Sets
ICDM '02 Proceedings of the 2002 IEEE International Conference on Data Mining
Mining Sequential Patterns by Pattern-Growth: The PrefixSpan Approach
IEEE Transactions on Knowledge and Data Engineering
YaDT: Yet another Decision Tree Builder
ICTAI '04 Proceedings of the 16th IEEE International Conference on Tools with Artificial Intelligence
Information and Software Technology
Extending KDDML with a Visual Metaphor for the KDD Process
VISUAL '08 Proceedings of the 10th international conference on Visual Information Systems: Web-Based Visual Information Search and Management
Distributed Data Mining Methodology with Classification Model Example
ICCCI '09 Proceedings of the 1st International Conference on Computational Collective Intelligence. Semantic Web, Social Networks and Multiagent Systems
Software—Practice & Experience
Ontological support for Association Rule Mining
AIA '08 Proceedings of the 26th IASTED International Conference on Artificial Intelligence and Applications
UI-HCII'07 Proceedings of the 2nd international conference on Usability and internationalization
TOD: Temporal outlier detection by using quasi-functional temporal dependencies
Data & Knowledge Engineering
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KDDML (KDD Markup Language) is a middleware language and system designed to support the development of final applications or higher level systems which deploy a mixture of data access, data pre-processing, extraction and deployment of data mining models.We present our three-years' experience in the development of KDDML. The design principles are motivated by requirements derived from recurring patterns in the KDD process.The KDDML language is XML-based, both for query syntax and data/model representation. A KDDML query is an XML-document where XML tags correspond to operations on data/models, XML attributes correspond to parameters of those operations and XML sub-elements define arguments passed to the operators. We present the operators for data access and preprocessing, model extraction and deployment, and control flow ones.The core of the KDDML system is a KDDML language interpreter with modularity and extensibility requirements as the main goals. Additional data sources, and preprocessing and mining algorithms can be easily plugged in the system.