N. Lavrac, S. Dzeroski and M. Numao. Inductive logic programming for relational knowledge discovery. New Generation Computing 17 (1): 3--23, 1999. Home/Search Document Not in Database Summary Related Articles Check |
This paper is cited in the following contexts:
An Efficient Hypothesis Search Algorithm based on.. - Ohara, Babaguchi.. (Correct)
....knowledge. The framework based on mathematical logic brings some advantages such as the high expressive power. Moreover from the ability to use background knowledge and to reuse hypotheses learned, ILP is expected as an e#ective approach in the domain of knowledge discovery in database (KDD)[3, 6]. However the e#ciency of learning with ILP is not always adequate to deal with a large amount of data in KDD. Learning with ILP is equivalent to finding out a best hypothesis, which is correct and has a maximal evaluation value, from the search space called the hypothesis space, which is a ....
Lavrac, N., & Dzeroski, S., & Numao, M. (1999). Inductive Logic Programming for Relational Knowledge Discovery, New Generation Computing, 17, (pp. 3 -- 23).
Relational Data Mining and Subgroup Discovery - Lavrac (2002) Self-citation (Lavrac) (Correct)
No context found.
N. Lavrac, S. Dzeroski and M. Numao. Inductive logic programming for relational knowledge discovery. New Generation Computing 17 (1): 3--23, 1999.
Computational Logic and Machine Learning: A roadmap for Inductive .. - Lavrac (1999) (1 citation) Self-citation (Lavrac) (Correct)
....continuous clasification problem. 2.4 ILP techniques This section reviews the state of the art ILP techniques most of which have already shown their potential for use in real life applications. The overview is limited to recent ILP developments, aimed at data mining from real life databases [40]. These developments have a marketing potential in the prosperous new areas of Data Mining and Knowledge Discovery in Databases. Further information on some of the systems can be found at 6 http: www ai.ijs.si ilpnet , and more details on some of the systems recently developed as part of the ....
N. Lavrac. Inductive logic programming for relational knowledge discovery. Invited lecture at The 1998 Joint International Conference and Symposium on Logic Programming, pp. 7--22, MIT Press, 1998.
Computational Logic and Machine Learning: A roadmap for Inductive .. - Lavrac (1998) (1 citation) Self-citation (Lavrac) (Correct)
....continuous clasification problem. 2.4 ILP techniques This section reviews the state of the art ILP techniques most of which have already shown their potential for use in real life applications. The overview is limited to recent ILP developments, aimed at data mining from real life databases [30]. These developments have a marketing potential in the prosperous new areas of Data Mining and Knowledge Discovery in Databases. Further information on some of the systems can be found at http: www ai.ijs.si ilpnet , and more details on some of the systems recently developed as part of the ....
N. Lavrac. Inductive logic programming for relational knowledge discovery. Invited lecture at The 1998 Joint International Conference and Symposium on Logic Programming, pp. 7--22, MIT Press, 1998.
Online articles have much greater impact More about CiteSeer.IST Add search form to your site Submit documents Feedback
CiteSeer.IST - Copyright Penn State and NEC