Foundations of logic programming; (2nd extended ed.)
Foundations of logic programming; (2nd extended ed.)
Principles of database and knowledge-base systems, Vol. I
Principles of database and knowledge-base systems, Vol. I
Formal methods in artificial intelligence
Formal methods in artificial intelligence
Reformulating query plans for multidatabase systems
CIKM '93 Proceedings of the second international conference on Information and knowledge management
Forming beliefs about a changing world
AAAI '94 Proceedings of the twelfth national conference on Artificial intelligence (vol. 1)
Algorithms for inferring functional dependencies from relations
Data & Knowledge Engineering
Tracking Drifting Concepts By Minimizing Disagreements
Machine Learning - Special issue on computational learning theory
Query reformulation for dynamic information integration
Journal of Intelligent Information Systems - Special issue on intelligent integration of information
Inductive logic programming and knowledge discovery in databases
Advances in knowledge discovery and data mining
Using inductive learning to generate rules for semantic query optimization
Advances in knowledge discovery and data mining
Rough Sets: Theoretical Aspects of Reasoning about Data
Rough Sets: Theoretical Aspects of Reasoning about Data
Inductive Logic Programming: Techniques and Applications
Inductive Logic Programming: Techniques and Applications
Semantic Query Optimization for Tree and Chain Queries
IEEE Transactions on Knowledge and Data Engineering
Machine Learning
Database Mining: A Performance Perspective
IEEE Transactions on Knowledge and Data Engineering
Learning Transformation Rules for Semantic Query Optimization: A Data-Driven Approach
IEEE Transactions on Knowledge and Data Engineering
On Estimating Probabilities in Tree Pruning
EWSL '91 Proceedings of the European Working Session on Machine Learning
Effective Learning in Dynamic Environments by Explicit Context Tracking
ECML '93 Proceedings of the European Conference on Machine Learning
Bayes and Pseudo-Bayes Estimates of Conditional Probabilities and Their Reliability
ECML '93 Proceedings of the European Conference on Machine Learning
Query optimization by semantic reasoning
Query optimization by semantic reasoning
A self-organizing database system - a different approach to query optimization
A self-organizing database system - a different approach to query optimization
Learning effective search control knowledge: an explanation-based approach
Learning effective search control knowledge: an explanation-based approach
Learning effective and robust knowledge for semantic query optimization
Learning effective and robust knowledge for semantic query optimization
Discovering robust knowledge from dynamic closed-world data
AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 1
Extending the Re-use of Query Results at Remote Client Sites
DEXA '00 Proceedings of the 11th International Conference on Database and Expert Systems Applications
Online classification of nonstationary data streams
Intelligent Data Analysis
Discovering robust knowledge from dynamic closed-world data
AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 1
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Many applications of knowledge discovery and data mining such asrule discovery for semantic query optimization, database integration anddecision support, require the knowledge to be consistent with the data.However, databases usually change over time and make machine-discoveredknowledge inconsistent. Useful knowledge should be robustagainst database changes so that it is unlikely to become inconsistent afterdatabase updates. This paper defines this notion of robustness in thecontext of relational databases and describes how robustness of first-order Horn-clause rules can be estimated. Experimental results showthat our estimation approach can accurately identify robust rules. We alsopresent a rule antecedent pruning algorithm that improves the robustness andapplicability of machine discovered rules to demonstrate the usefulness ofrobustness estimation.