The description identification problem
Artificial Intelligence
Mining association rules between sets of items in large databases
SIGMOD '93 Proceedings of the 1993 ACM SIGMOD international conference on Management of data
Machine Learning
A database perspective on knowledge discovery
Communications of the ACM
Exploratory mining and pruning optimizations of constrained associations rules
SIGMOD '98 Proceedings of the 1998 ACM SIGMOD international conference on Management of data
Efficiently mining long patterns from databases
SIGMOD '98 Proceedings of the 1998 ACM SIGMOD international conference on Management of data
Efficient mining of emerging patterns: discovering trends and differences
KDD '99 Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining
Mining frequent patterns without candidate generation
SIGMOD '00 Proceedings of the 2000 ACM SIGMOD international conference on Management of data
Levelwise Search and Borders of Theories in KnowledgeDiscovery
Data Mining and Knowledge Discovery
An Extension to SQL for Mining Association Rules
Data Mining and Knowledge Discovery
Discovery of frequent DATALOG patterns
Data Mining and Knowledge Discovery
Feature Construction with Version Spaces for Biochemical Applications
ICML '01 Proceedings of the Eighteenth International Conference on Machine Learning
Discovering All Most Specific Sentences by Randomized Algorithms
ICDT '97 Proceedings of the 6th International Conference on Database Theory
An assessment of submissions made to the Predictive Toxicology Evaluation Challenge
IJCAI '99 Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence
An Inductive Logic Programming Query Language for Database Mining
AISC '98 Proceedings of the International Conference on Artificial Intelligence and Symbolic Computation
Molecular feature mining in HIV data
Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining
Complete Mining of Frequent Patterns from Graphs: Mining Graph Data
Machine Learning
The Musical Expression Project: A Challenge for Machine Learning and Knowledge Discovery
EMCL '01 Proceedings of the 12th European Conference on Machine Learning
The Musical Expression Project: A Challenge for Machine Learning and Knowledge Discovery
PKDD '01 Proceedings of the 5th European Conference on Principles of Data Mining and Knowledge Discovery
Data Mining as Constraint Logic Programming
Computational Logic: Logic Programming and Beyond, Essays in Honour of Robert A. Kowalski, Part II
Mining Patterns from Structured Data by Beam-Wise Graph-Based Induction
DS '02 Proceedings of the 5th International Conference on Discovery Science
Demand-Driven Construction of Structural Features in ILP
ILP '01 Proceedings of the 11th International Conference on Inductive Logic Programming
Fast Algorithms for Mining Emerging Patterns
PKDD '02 Proceedings of the 6th European Conference on Principles of Data Mining and Knowledge Discovery
A perspective on inductive databases
ACM SIGKDD Explorations Newsletter
DualMiner: a dual-pruning algorithm for itemsets with constraints
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
Mining Significant Pairs of Patterns from Graph Structures with Class Labels
ICDM '03 Proceedings of the Third IEEE International Conference on Data Mining
An Algebra for Inductive Query Evaluation
ICDM '03 Proceedings of the Third IEEE International Conference on Data Mining
State of the art of graph-based data mining
ACM SIGKDD Explorations Newsletter
Frequent free tree discovery in graph data
Proceedings of the 2004 ACM symposium on Applied computing
Parallel algorithms for mining frequent structural motifs in scientific data
Proceedings of the 18th annual international conference on Supercomputing
A quickstart in frequent structure mining can make a difference
Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining
Extracting frequent connected subgraphs from large graph sets
Journal of Computer Science and Technology
Finding Frequent Patterns in a Large Sparse Graph*
Data Mining and Knowledge Discovery
A Levelwise Search Algorithm for Interesting Subspace Clusters
ICDM '05 Proceedings of the Fifth IEEE International Conference on Data Mining
Subdue: compression-based frequent pattern discovery in graph data
Proceedings of the 1st international workshop on open source data mining: frequent pattern mining implementations
On condensed representations of constrained frequent patterns
Knowledge and Information Systems
Extending the state-of-the-art of constraint-based pattern discovery
Data & Knowledge Engineering
A General Framework for Mining Frequent Subgraphs from Labeled Graphs
Fundamenta Informaticae - Advances in Mining Graphs, Trees and Sequences
Mining minimal distinguishing subsequence patterns with gap constraints
Knowledge and Information Systems
Soft constraint based pattern mining
Data & Knowledge Engineering
A constraint-based querying system for exploratory pattern discovery
Information Systems
Emerging Cubes: Borders, size estimations and lossless reductions
Information Systems
Mining constraint-based patterns using automatic relaxation
Intelligent Data Analysis
Discovering Emerging Graph Patterns from Chemicals
ISMIS '09 Proceedings of the 18th International Symposium on Foundations of Intelligent Systems
Redescription mining: structure theory and algorithms
AAAI'05 Proceedings of the 20th national conference on Artificial intelligence - Volume 2
An inductive database for mining temporal patterns in event sequences
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
Reduced representations of Emerging Cubes for OLAP database mining
International Journal of Business Intelligence and Data Mining
On the Complexity of Constraint-Based Theory Extraction
DS '09 Proceedings of the 12th International Conference on Discovery Science
The Gaston Tool for Frequent Subgraph Mining
Electronic Notes in Theoretical Computer Science (ENTCS)
An efficient algorithm of frequent connected subgraph extraction
PAKDD'03 Proceedings of the 7th Pacific-Asia conference on Advances in knowledge discovery and data mining
Mining of three-dimensional structural fragments in drug molecules
JSAI'03/JSAI04 Proceedings of the 2003 and 2004 international conference on New frontiers in artificial intelligence
Itemset mining: A constraint programming perspective
Artificial Intelligence
All normalized anti-monotonic overlap graph measures are bounded
Data Mining and Knowledge Discovery
Extracting and summarizing the frequent emerging graph patterns from a dataset of graphs
Journal of Intelligent Information Systems
Database transposition for constrained (closed) pattern mining
KDID'04 Proceedings of the Third international conference on Knowledge Discovery in Inductive Databases
An efficient algorithm for mining string databases under constraints
KDID'04 Proceedings of the Third international conference on Knowledge Discovery in Inductive Databases
Condensed representation of EPs and patterns quantified by frequency-based measures
KDID'04 Proceedings of the Third international conference on Knowledge Discovery in Inductive Databases
Pushing constraints to detect local patterns
LPD'04 Proceedings of the 2004 international conference on Local Pattern Detection
ADMA'05 Proceedings of the First international conference on Advanced Data Mining and Applications
A relational query primitive for constraint-based pattern mining
Proceedings of the 2004 European conference on Constraint-Based Mining and Inductive Databases
To see the wood for the trees: mining frequent tree patterns
Proceedings of the 2004 European conference on Constraint-Based Mining and Inductive Databases
Inductive databases in the relational model: the data as the bridge
KDID'05 Proceedings of the 4th international conference on Knowledge Discovery in Inductive Databases
A General Framework for Mining Frequent Subgraphs from Labeled Graphs
Fundamenta Informaticae - Advances in Mining Graphs, Trees and Sequences
Emerging cubes for trends analysis in OLAP databases
DaWaK'07 Proceedings of the 9th international conference on Data Warehousing and Knowledge Discovery
Processing Combinatorial Thinking: Innovators Marketplace as Role-Based Game Plus Action Planning
International Journal of Knowledge and Systems Science
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A tight integration of Mitchell's version space algorithm with Agrawal et al.'s Apriori algorithm is presented. The algorithm can be used to generate patterns that satisfy a variety of constraints on data. Constraints that can be imposed on patterns include the generality relation among patterns and imposing a minimum or a maximum frequency on data sets of interest. The theoretical framework is applied to an important application in chemo-informatics, i.e. that of finding fragments of interest within a given set of compounds. Fragments are linearly connected substructures of compounds. An implementation as well as preliminary experiments within the application are presented.