Filters
cris logo
-
New search Filters
Select from list
Displayed from Show more
You have reached the maximum number of displayed search results.
All results displayed
No results are available for the search performed
Displayed from
You have reached the maximum number of displayed search results.
All results displayed
Loading results
Obtaining statistical data

Projects / Programmes source: ARIS

Inductive logic programming

Edit
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 (rules)
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
Researchers (5)
no. Code Name and surname Research area Role Period No. of publications
1.  02590  PhD France Dacar  Mathematics  Researcher  1997 - 1999  42 
2.  11130  PhD Sašo Džeroski  Computer science and informatics  Researcher  1998 - 1999  1,204 
3.  05023  PhD Tomaž Erjavec  Linguistics  Researcher  1997 - 1999  636 
4.  08949  PhD Nada Lavrač  Computer science and informatics  Head  1999  867 
5.  14021  PhD Uroš Pompe  Computer science and informatics  Researcher  1997 - 1999  13 
Organisations (2)
no. Code Research organisation City Registration number No. of publications
1.  0106  Jožef Stefan Institute  Ljubljana  5051606000  90,706 
2.  1539  University of Ljubljana, Faculty of Computer and Information Science  Ljubljana  1627023  16,243 
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.
Confirmation required
Views history
Favourite