Advances in knowledge discovery and data mining
Advances in knowledge discovery and data mining
The 3W Model and Algebra for Unified Data Mining
VLDB '00 Proceedings of the 26th International Conference on Very Large Data Bases
A New SQL-like Operator for Mining Association Rules
VLDB '96 Proceedings of the 22th International Conference on Very Large Data Bases
DaWaK '99 Proceedings of the First International Conference on Data Warehousing and Knowledge Discovery
Data Filtration: A Rough Set Approach
RSKD '93 Proceedings of the International Workshop on Rough Sets and Knowledge Discovery: Rough Sets, Fuzzy Sets and Knowledge Discovery
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The relational model provides simple methods for data analysis, such as query and reporting tools. Data mining systems also provide data analysis capabilities. However, there is no uniform model which handles the representation and mining of data in such a way as to provide a standardization of inputs, outputs, and processing. In this paper we present a model of a data mining operator and a data mining structure that can be implemented over a relational database management system in the same way that multidimensional structures have been implemented.