In this paper, we present a theoretical foundation for querying inductive databases, which can accommodate disparate mining tasks. We present a data mining algebra including some essential operations for manipulating data and patterns and illustrate the use of a fix-point operator in a logic-based mining language. We show that the mining algebra has equivalent expressive power as the logic-based paradigm with a fixpoint operator. © Springer-Verlag Berlin Heidelberg 2010.
CITATION STYLE
Liu, H. C., Ghose, A., & Zeleznikow, J. (2010). Towards an algebraic framework for querying inductive databases. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5982, pp. 306–312). Springer Verlag. https://doi.org/10.1007/978-3-642-12098-5_24
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