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Projects / Programmes source: ARIS

Inteligentna analiza podatkov za pomoč pri odločanju (Slovene)

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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 
T121  Technological sciences  Signal processing 
Keywords
intelligent data analysis, data mining, databases, internet
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 (7)
no. Code Name and surname Research area Role Period No. of publications
1.  11130  PhD Sašo Džeroski  Computer science and informatics  Researcher  2000 - 2002  1,204 
2.  05023  PhD Tomaž Erjavec  Linguistics  Researcher  2000 - 2002  636 
3.  08949  PhD Nada Lavrač  Computer science and informatics  Head  2000 - 2002  869 
4.  12570  PhD Dunja Mladenić  Computer science and informatics  Researcher  2000 - 2002  662 
5.  16302  PhD Ljupčo Todorovski  Computer science and informatics  Researcher  2000 - 2002  443 
6.  04586  PhD Tanja Urbančič  Computer science and informatics  Researcher  2000 - 2002  290 
7.  14803  PhD Darko Zupanič  Computer science and informatics  Researcher  2000 - 2002  40 
Organisations (1)
no. Code Research organisation City Registration number No. of publications
1.  0106  Jožef Stefan Institute  Ljubljana  5051606000  90,812 
Abstract
Businesses and academia recognize that the use of Data Mining (DM) technologies is a critical success factor in the global market economy. Large amounts of information available in electronic form in databases and on the internet present a challenge to the research community. In this project, recently developed data mining techniques will be upgraded and new advanced techniques developed for intelligent data analysis and data mining based on the experience gained through prototype problem solving of end-users problems. New methods for data mining in databases and the internet will be developed, and methods for combining problem solutions and consensus building will be upgraded. Addressed prototype problem solutions will be developed in the area of economy, marketing, analysis of industrial processes, access analysis and user profiling. Failed and successful approaches will be analysed and disseminated, thus contributing to a better understanding of generic methodologies and their accessibility to non-expert users of data mining tools.
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