L. De Raedt. A relational database mining query language. In Proc. Fourth Workshop on Artificial Intelligence and Symbolic Computation, Springer LNAI, 1998 (in press). Home/Search Document Not in Database Summary Related Articles Check |
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Computational Logic and Machine Learning: A roadmap for Inductive .. - Lavrac (1998) (1 citation) (Correct)
....features) for learning and hypothesis representation [22] This work may be a first step towards a larger research initiative in using higher order features in ILP. Deductive databases. A tighter connection with deductive database technology has been recently advocated by Luc De Raedt [7, 8] introduc12 ing an inductive database mining quary language that integrates concepts from ILP, CLP, deductive databases and meta programming into a flexible environment for relational knowledge discovery in databases. Since the primitives of the language can easily be combined with Prolog, complex ....
L. De Raedt. A relational database mining query language. In Proc. Fourth Workshop on Artificial Intelligence and Symbolic Computation, Springer LNAI, 1998 (in press).
A Perspective on Inductive Logic Programming - De Raedt Self-citation (De raedt) (Correct)
....database query languages. Given the research results of constraint logic programming, inductive logic Lecture Notes in Computer Science 10 programming and deductive databases, it seems natural to develop database mining query languages within computational logic. One such proposal was given by [33]. This approach to inductive logic programming would put the field on the same basis as constraint logic programming. Acknowledgements The author is supported by the Fund for Scientific Research, Flanders and by the ESPRIT project no. 20237 on Inductive Logic Programming II. ....
De Raedt, L.: A relational database mining query language. In Proceedings of the 4 th Workshop on Artificial Intelligence and Symbolic Computation. Lecture Notes in Artificial Intelligence, Invited Paper, to appear, Springer, 1998.
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