Projects / Programmes source: ARIS

Inductive logic programming

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Research activity

Code Science Field Subfield
2.07.07  Engineering sciences and technologies  Computer science and informatics  Intelligent systems - software 

Code Science Field
P170  Natural sciences and mathematics  Computer science, numerical analysis, systems, control 
P176  Natural sciences and mathematics  Artificial intelligence 
Keywords
artificial intelligence, machine learning, inductive logic programming
Evaluation (metodology)
source: COBISS
Evaluation of bibliographic research performance indicators according to ARIS methodology
Citations Citations for bibliographic records in COBIB.SI that are linked to records in citation databases
source: WoS source: Scopus source: COBISS
Organisations (2) , Researchers (5)
0106  Jožef Stefan Institute
no. Code Name and surname Research area Role Period No. of publications
1.  02590  PhD France Dacar  Mathematics  Researcher  1997 - 1999  45 
2.  11130  PhD Sašo Džeroski  Computer science and informatics  Researcher  1998 - 1999  1,271 
3.  05023  PhD Tomaž Erjavec  Linguistics  Researcher  1997 - 1999  695 
4.  08949  PhD Nada Lavrač  Computer science and informatics  Head  1999  897 
1539  University of Ljubljana, Faculty of Computer and Information Science
no. Code Name and surname Research area Role Period No. of publications
1.  14021  PhD Uroš Pompe  Computer science and informatics  Researcher  1997 - 1999  13 
Abstract
The aim of the project is the development of inductive logic programming techniques that increase their applicability for knowledge discovery in databases. The main topics of research are handling of numeric and general constraints, probabilistic concepts and the problem of relevance. Improved techniques are applied on practical knowledge discovery problems.
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