Liu, H.C.Ghose, A.Zeleznikow, J.2025-12-172025-12-172010Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2010, pp.306-31297836421209780302-97431611-3349https://hdl.handle.net/1959.8/152159In 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.enCopyright 2010 Springeralgebraic frameworkexpressive powerfixpointsinductive databasemining taskstheoretical foundationsConference paper10.1007/978-3-642-12098-5_242-s2.0-78650438553