Mining association rules between sets of items in large databases
SIGMOD '93 Proceedings of the 1993 ACM SIGMOD international conference on Management of data
An introduction to computational learning theory
An introduction to computational learning theory
The nature of statistical learning theory
The nature of statistical learning theory
PALO: a probabilistic hill-climbing algorithm
Artificial Intelligence
Explora: a multipattern and multistrategy discovery assistant
Advances in knowledge discovery and data mining
An Algorithm for Multi-relational Discovery of Subgroups
PKDD '97 Proceedings of the First European Symposium on Principles of Data Mining and Knowledge Discovery
Sampling Large Databases for Association Rules
VLDB '96 Proceedings of the 22th International Conference on Very Large Data Bases
Learning to select useful landmarks
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Inductive logic programming for knowedge discovery in databases
Relational Data Mining
Efficiently Determining the Starting Sample Size for Progressive Sampling
EMCL '01 Proceedings of the 12th European Conference on Machine Learning
Sequential Sampling Algorithms: Unified Analysis and Lower Bounds
SAGA '01 Proceedings of the International Symposium on Stochastic Algorithms: Foundations and Applications
Finding Association Rules That Trade Support Optimally against Confidence
PKDD '01 Proceedings of the 5th European Conference on Principles of Data Mining and Knowledge Discovery
ISWC '02 Proceedings of the First International Semantic Web Conference on The Semantic Web
How Can Computer Science Contribute to Knowledge Discovery?
SOFSEM '01 Proceedings of the 28th Conference on Current Trends in Theory and Practice of Informatics Piestany: Theory and Practice of Informatics
Detecting Interesting Instances
Proceedings of the ESF Exploratory Workshop on Pattern Detection and Discovery
Sequential Sampling Techniques for Algorithmic Learning Theory
ALT '00 Proceedings of the 11th International Conference on Algorithmic Learning Theory
Progressive rademacher sampling
Eighteenth national conference on Artificial intelligence
Knowledge discovery in databases: the purpose, necessity, and challenges
Handbook of data mining and knowledge discovery
Finding the most interesting patterns in a database quickly by using sequential sampling
The Journal of Machine Learning Research
Sequential sampling techniques for algorithmic learning theory
Theoretical Computer Science - Algorithmic learning theory (ALT 2000)
Tight Optimistic Estimates for Fast Subgroup Discovery
ECML PKDD '08 Proceedings of the 2008 European Conference on Machine Learning and Knowledge Discovery in Databases - Part I
Web Semantics: Science, Services and Agents on the World Wide Web
Knowledge-Based sampling for subgroup discovery
LPD'04 Proceedings of the 2004 international conference on Local Pattern Detection
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