Towards a general theory of action and time
Artificial Intelligence
On conjunctive queries containing inequalities
Journal of the ACM (JACM)
Tractable query languages for complex object databases
PODS '91 Proceedings of the tenth ACM SIGACT-SIGMOD-SIGART symposium on Principles of database systems
A canonical form for generalized linear constraints
Journal of Symbolic Computation
The complexity of querying indefinite data about linearly ordered domains
PODS '92 Proceedings of the eleventh ACM SIGACT-SIGMOD-SIGART symposium on Principles of database systems
The LyriC language: querying constraint objects
SIGMOD '95 Proceedings of the 1995 ACM SIGMOD international conference on Management of data
A database perspective on knowledge discovery
Communications of the ACM
Deciding containment for queries with complex objects (extended abstract)
PODS '97 Proceedings of the sixteenth ACM SIGACT-SIGMOD-SIGART symposium on Principles of database systems
Conjunctive-query containment and constraint satisfaction
PODS '98 Proceedings of the seventeenth ACM SIGACT-SIGMOD-SIGART symposium on Principles of database systems
An access control model supporting periodicity constraints and temporal reasoning
ACM Transactions on Database Systems (TODS)
Constraint query languages (preliminary report)
PODS '90 Proceedings of the ninth ACM SIGACT-SIGMOD-SIGART symposium on Principles of database systems
A framework for measuring changes in data characteristics
PODS '99 Proceedings of the eighteenth ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
ACM Computing Surveys (CSUR)
Conjunctive query containment revisited
Theoretical Computer Science - Special issue on the 6th International Conference on Database Theory—ICDT '97
Tractable disjunctions of linear constraints: basic results and applications to temporal reasoning
Theoretical Computer Science
Modern Information Retrieval
An Extension to SQL for Mining Association Rules
Data Mining and Knowledge Discovery
MSQL: A Query Language for Database Mining
Data Mining and Knowledge Discovery
SQL multimedia and application packages (SQL/MM)
ACM SIGMOD Record
The power of languages for the manipulation of complex values
The VLDB Journal — The International Journal on Very Large Data Bases
A Survey of Temporal Knowledge Discovery Paradigms and Methods
IEEE Transactions on Knowledge and Data Engineering
On The Expressive Power of the Relational Calculus with Arithmetic Constraints
ICDT '90 Proceedings of the Third International Conference on Database Theory
Datalog Queries of Set Constraint Databases
ICDT '95 Proceedings of the 5th International Conference on Database Theory
Linear vs Polynomial Constraints in Database Query Languages
PPCP '94 Proceedings of the Second International Workshop on Principles and Practice of Constraint Programming
The 3W Model and Algebra for Unified Data Mining
VLDB '00 Proceedings of the 26th International Conference on Very Large Data Bases
Fast Algorithms for Mining Association Rules in Large Databases
VLDB '94 Proceedings of the 20th International Conference on Very Large Data Bases
Representation and Discovery of Vertical Patterns in Music
ICMAI '02 Proceedings of the Second International Conference on Music and Artificial Intelligence
ODMQL: Object Data Mining Query Language
Proceedings of the International Symposium on Objects and Databases
Constraint Databases: A Survey
Selected Papers from a Workshop on Semantics in Databases
Databases and Temporal Constraints: Semantics and Complexity
Proceedings of the International Workshop on Temporal Databases: Recent Advances in Temporal Databases
DISCO: A Constraint Database System with Sets
Proceedings of the ESPRIT WG CONTESSA Workshop on Constraint Databases and Applications
The inference problem: a survey
ACM SIGKDD Explorations Newsletter
A perspective on inductive databases
ACM SIGKDD Explorations Newsletter
Querying multiple sets of discovered rules
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
Optimal implementation of conjunctive queries in relational data bases
STOC '77 Proceedings of the ninth annual ACM symposium on Theory of computing
A Theory of Inductive Query Answering
ICDM '02 Proceedings of the 2002 IEEE International Conference on Data Mining
People Recognition and Pose Estimation in Image Sequences
IJCNN '00 Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks (IJCNN'00)-Volume 4 - Volume 4
A framework for data mining pattern management
PKDD '04 Proceedings of the 8th European Conference on Principles and Practice of Knowledge Discovery in Databases
A unified and flexible framework for comparing simple and complex patterns
PKDD '04 Proceedings of the 8th European Conference on Principles and Practice of Knowledge Discovery in Databases
PSYCHO: a prototype system for pattern management
VLDB '05 Proceedings of the 31st international conference on Very large data bases
Expressive power of an algebra for data mining
ACM Transactions on Database Systems (TODS)
Database Support for Data Mining Applications: Discovering Knowledge with Inductive Queries (Lecture Notes in Computer Science)
Modeling and language support for the management of pattern-bases
Data & Knowledge Engineering
Managing large collections of data mining models
Communications of the ACM - Alternate reality gaming
Mining Views: Database Views for Data Mining
ICDE '08 Proceedings of the 2008 IEEE 24th International Conference on Data Engineering
The Java Data Mining Package - A Data Processing Library for Java
COMPSAC '09 Proceedings of the 2009 33rd Annual IEEE International Computer Software and Applications Conference - Volume 01
What's PMML and what's new in PMML 4.0?
ACM SIGKDD Explorations Newsletter
Towards a general framework for data mining
KDID'06 Proceedings of the 5th international conference on Knowledge discovery in inductive databases
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Knowledge patterns, such as association rules, clusters or decision trees, can be defined as concise and relevant information that can be extracted, stored, analyzed, and manipulated by knowledge workers in order to drive and specialize business decision processes. In this paper we deal with data mining patterns. The ability to manipulate different types of patterns under a unified environment is becoming a fundamental issue for any 'intelligent' and data-intensive application. However, approaches proposed so far for pattern management usually deal with specific and predefined types of patterns and mainly concern pattern extraction and exchange issues. Issues concerning the integrated, advanced management of heterogeneous patterns are in general not (or marginally) taken into account. What is missing is therefore a unified framework dealing with heterogeneous patterns in an homogeneous way. This work addresses this problem by proposing a general framework for heterogeneous pattern representation and management under a unified perspective. After discussing the motivations underlying our work, a formal pattern model as well as query and manipulation languages are presented. Complexity issues of the proposed framework are also investigated and a proposal for an SQL-based implementation of the framework is finally provided.