A logical language for data and knowledge bases
A logical language for data and knowledge bases
Incremental concept formation with composite objects
Proceedings of the sixth international workshop on Machine learning
The Utility of Knowledge in Inductive Learning
Machine Learning
Conceptual clustering in a first order logic representation
ECAI '92 Proceedings of the 10th European conference on Artificial intelligence
Concept Formation During Interactive Theory Revision
Machine Learning - Special issue on evaluating and changing representation
A Polynomial Approach to the Constructive Induction of Structural Knowledge
Machine Learning - Special issue on evaluating and changing representation
Integrating inductive and deductive reasoning for data mining
Advances in knowledge discovery and data mining
Advances in knowledge discovery and data mining
Attribute-oriented induction in data mining
Advances in knowledge discovery and data mining
Autonomous Learning from the Environment
Autonomous Learning from the Environment
The Design and Analysis of Computer Algorithms
The Design and Analysis of Computer Algorithms
Learning Logical Definitions from Relations
Machine Learning
Knowledge Acquisition Via Incremental Conceptual Clustering
Machine Learning
Induction of first-order decision lists: results on learning the past tense of English verbs
Journal of Artificial Intelligence Research
Computational properties of metaquerying problems
PODS '00 Proceedings of the nineteenth ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
Automated assistants to aid humans in understanding team behaviors
AGENTS '00 Proceedings of the fourth international conference on Autonomous agents
Computational properties of metaquerying problems
ACM Transactions on Computational Logic (TOCL)
Meta-queries - Computation and Evaluation
DaWaK 2000 Proceedings of the Second International Conference on Data Warehousing and Knowledge Discovery
FlexiMine – A Flexible Platform for KDD Research and Application Development
Annals of Mathematics and Artificial Intelligence
Metaqueries: semantics, complexity, and efficient algorithms
Artificial Intelligence
Enumerating consistent metaquery instantiations
AI Communications
A Visual Data Mining Environment
Visual Data Mining
Towards efficient metaquerying
IJCAI'99 Proceedings of the 16th international joint conference on Artificial intelligence - Volume 2
A relational query primitive for constraint-based pattern mining
Proceedings of the 2004 European conference on Constraint-Based Mining and Inductive Databases
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Metapattern (also known as metaquery) is a new approach for integrated data mining systems. Different from a typical "tool-box" like integration, where components must be picked and chosen by users without much help, metapatterns provide a common representation for intercomponent communication as well as a human interface for hypothesis development and search control. One weakness of this approach, however, is that the task of generating fruitful metapatterns is still a heavy burden for human users. In this paper, we describe a metapattern generator and an integrated discovery loop that can automatically generate metapatterns. Experiments in both artificial and real-world databases have shown that this new system goes beyond the existing machine learning technologies, and can discover relational patterns without requiring humans to prelabel the data as positive or negative examples for some given target concepts. With this technology, future data mining systems could discover high-quality, human comprehensible knowledge in a much more efficient and focused manner, and data mining could be managed easily by both expert and less expert users.