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 association rules using closed itemset lattices
Information Systems
Mining frequent patterns without candidate generation
SIGMOD '00 Proceedings of the 2000 ACM SIGMOD international conference on Management of data
Principles of data mining
Molecular feature mining in HIV data
Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining
Constrained frequent pattern mining: a pattern-growth view
ACM SIGKDD Explorations Newsletter
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
MSQL: A Query Language for Database Mining
Data Mining and Knowledge Discovery
Free-Sets: A Condensed Representation of Boolean Data for the Approximation of Frequency Queries
Data Mining and Knowledge Discovery
Discovering All Most Specific Sentences by Randomized Algorithms
ICDT '97 Proceedings of the 6th International Conference on Database Theory
Querying Inductive Databases: A Case Study on the MINE RULE Operator
PKDD '98 Proceedings of the Second European Symposium on Principles of Data Mining and Knowledge Discovery
Querying Inductive Databases via Logic-Based User-Defined Aggregates
PKDD '99 Proceedings of the Third European Conference on Principles of Data Mining and Knowledge Discovery
Mining Association Rules from XML Data
DaWaK 2000 Proceedings of the 4th International Conference on Data Warehousing and Knowledge Discovery
DualMiner: a dual-pruning algorithm for itemsets with constraints
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
A Theory of Inductive Query Answering
ICDM '02 Proceedings of the 2002 IEEE International Conference on Data Mining
Programming by Demonstration Using Version Space Algebra
Machine Learning
Optimization of association rule mining queries
Intelligent Data Analysis
The levelwise version space algorithm and its application to molecular fragment finding
IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 2
An Algebra for Inductive Query Evaluation
ICDM '03 Proceedings of the Third IEEE International Conference on Data Mining
Optimizing subset queries: a step towards SQL-based inductive databases for itemsets
Proceedings of the 2004 ACM symposium on Applied computing
Answering constraint-based mining queries on itemsets using previous materialized results
Journal of Intelligent Information Systems
Looking for monotonicity properties of a similarity constraint on sequences
Proceedings of the 2006 ACM symposium on Applied computing
Modeling and language support for the management of pattern-bases
Data & Knowledge Engineering
A model for managing collections of patterns
Proceedings of the 2007 ACM symposium on Applied computing
INCREMENTAL EXTRACTION OF ASSOCIATION RULES IN APPLICATIVE DOMAINS
Applied Artificial Intelligence
A Logic-Based Approach to Mining Inductive Databases
ICCS '07 Proceedings of the 7th international conference on Computational Science, Part I: ICCS 2007
Artificial Intelligence Review
The Panda framework for comparing patterns
Data & Knowledge Engineering
Introducing Softness into Inductive Queries on String Databases
Proceedings of the 2007 conference on Databases and Information Systems IV: Selected Papers from the Seventh International Baltic Conference DB&IS'2006
Mining Databases to Mine Queries Faster
ECML PKDD '09 Proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases: Part II
Analysis of time series data with predictive clustering trees
KDID'06 Proceedings of the 5th international conference on Knowledge discovery in inductive databases
An integrated multi-task inductive database VINLEN: initial implementation and early results
KDID'06 Proceedings of the 5th international conference on Knowledge discovery in inductive databases
Beam search induction and similarity constraints for predictive clustering trees
KDID'06 Proceedings of the 5th international conference on Knowledge discovery in inductive databases
IQL: a proposal for an inductive query language
KDID'06 Proceedings of the 5th international conference on Knowledge discovery in inductive databases
Towards a general framework for data mining
KDID'06 Proceedings of the 5th international conference on Knowledge discovery in inductive databases
Integer linear programming models for constrained clustering
DS'10 Proceedings of the 13th international conference on Discovery science
Inductive databases and constraint-based data mining
ICFCA'11 Proceedings of the 9th international conference on Formal concept analysis
An information theoretic framework for data mining
Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining
Subsumption of vertical viewpoint patterns
MCM'11 Proceedings of the Third international conference on Mathematics and computation in music
An automata approach to pattern collections
KDID'04 Proceedings of the Third international conference on Knowledge Discovery in Inductive Databases
Implicit enumeration of patterns
KDID'04 Proceedings of the Third international conference on Knowledge Discovery in Inductive Databases
Optimization of association rules extraction through exploitation of context dependent constraints
AI*IA'05 Proceedings of the 9th conference on Advances in Artificial Intelligence
The MineSP operator for mining sequential patterns in inductive databases
MICAI'06 Proceedings of the 5th Mexican international conference on Artificial Intelligence
Towards a framework for inductive querying
ISMIS'06 Proceedings of the 16th international conference on Foundations of Intelligent Systems
A survey on condensed representations for frequent sets
Proceedings of the 2004 European conference on Constraint-Based Mining and Inductive Databases
Computation of mining queries: an algebraic approach
Proceedings of the 2004 European conference on Constraint-Based Mining and Inductive Databases
A novel incremental approach to association rules mining in inductive databases
Proceedings of the 2004 European conference on Constraint-Based Mining and Inductive Databases
Contribution to gene expression data analysis by means of set pattern mining
Proceedings of the 2004 European conference on Constraint-Based Mining and Inductive Databases
Inductive querying for discovering subgroups and clusters
Proceedings of the 2004 European conference on Constraint-Based Mining and Inductive Databases
Pattern based management: data models and architectural aspects
EDBT'04 Proceedings of the 2004 international conference on Current Trends in Database Technology
A unified framework for heterogeneous patterns
Information Systems
Data mining in inductive databases
KDID'05 Proceedings of the 4th international conference on Knowledge Discovery in Inductive Databases
Constraint-Based mining of fault-tolerant patterns from boolean data
KDID'05 Proceedings of the 4th international conference on Knowledge Discovery in Inductive Databases
Experiment databases: a novel methodology for experimental research
KDID'05 Proceedings of the 4th international conference on Knowledge Discovery in Inductive Databases
Transaction databases, frequent itemsets, and their condensed representations
KDID'05 Proceedings of the 4th international conference on Knowledge Discovery in Inductive Databases
Constraint based induction of multi-objective regression trees
KDID'05 Proceedings of the 4th international conference on Knowledge Discovery in Inductive Databases
Semantic knowledge integration to support inductive query optimization
DaWaK'07 Proceedings of the 9th international conference on Data Warehousing and Knowledge Discovery
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Inductive databases tightly integrate databases with data mining. The key ideas are that data and patterns (or models) are handled in the same way and that an inductive query language allows the user to query and manipulate the patterns (or models) of interest.This paper proposes a simple and abstract model for inductive databases. We describe the basic formalism, a simple but fairly powerful inductive query language, some basics of reasoning for query optimization, and discuss some memory organization and implementation issues.