Mining association rules between sets of items in large databases
SIGMOD '93 Proceedings of the 1993 ACM SIGMOD international conference on Management of data
Selected papers of the 9th annual ACM SIGACT-SIGMOD-SIGART symposium on Principles of database systems
A database perspective on knowledge discovery
Communications of the ACM
From data mining to knowledge discovery: an overview
Advances in knowledge discovery and data mining
Constraint Databases
MSQL: A Query Language for Database Mining
Data Mining and Knowledge Discovery
An Extended Algebra for Constraint Databases
IEEE Transactions on Knowledge and Data Engineering
Integrating Data Mining with SQL Databases: OLE DB for Data Mining
Proceedings of the 17th International Conference on Data Engineering
The 3W Model and Algebra for Unified Data Mining
VLDB '00 Proceedings of the 26th International Conference on Very Large Data Bases
A retrospective on constraint databases
PCK50 Proceedings of the Paris C. Kanellakis memorial workshop on Principles of computing & knowledge: Paris C. Kanellakis memorial workshop on the occasion of his 50th birthday
Cost-based labeling of groups of mass spectra
SIGMOD '04 Proceedings of the 2004 ACM SIGMOD international conference on Management of data
Reclassification of Linearly Classified Data Using Constraint Databases
ADBIS '08 Proceedings of the 12th East European conference on Advances in Databases and Information Systems
Temporal Data Classification Using Linear Classifiers
ADBIS '09 Proceedings of the 13th East European Conference on Advances in Databases and Information Systems
Data mining applications for diverse industrial application domains with smart archive
SE '08 Proceedings of the IASTED International Conference on Software Engineering
Classification integration and reclassification using constraint databases
Artificial Intelligence in Medicine
Temporal data classification using linear classifiers
Information Systems
Pattern based management: data models and architectural aspects
EDBT'04 Proceedings of the 2004 international conference on Current Trends in Database Technology
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The KDD process is a non-trivial, iterative, interactive and multi-step process, that requires the development of a unifying model. This model have to ensure an uniform description of data and patterns and the control of the manipulation of the data and patterns. Thus, the model defines operations within the pattern and data, as well as transition operations between data and patterns.This paper proposes a framework consisting of a model view, a data view and a process view. It focuses on the model and data view. The model view contains a set of mining models, which contain all information of a data mining result, that are based on constraints. The proposed model algebra uses concepts of constraint databases as well as collective and parallel data mining. The whole process is supported by using operations between data and model view.