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Obtaining statistical data

Projects / Programmes source: ARIS

Mere različnosti v analizi podatkov (Slovene)

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Research activity

Code Science Field Subfield
1.07.01  Natural sciences and mathematics  Computer intensive methods and applications  Algorithms 

Code Science Field
P160  Natural sciences and mathematics  Statistics, operations research, programming, actuarial mathematics 
Keywords
dissimilarity measures, large datasets, softwear, efficient algorithems
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 (3)
no. Code Name and surname Research area Role Period No. of publications
1.  02017  PhD Matevž Bren  Mathematics  Head  2000 - 2002  291 
2.  11410  PhD Damijana Keržič  Computer science and informatics  Researcher  2000 - 2002  119 
3.  15137  PhD Matjaž Zaveršnik  Mathematics  Researcher  2000 - 2002  101 
Organisations (1)
no. Code Research organisation City Registration number No. of publications
1.  0101  Institute of Mathematics, Physics and Mechanics  Ljubljana  5055598000  20,218 
Abstract
In the application of many statistical methods, classification, multidimensional prediction; it is necessary to choose in advance the measure of difference that is in accordance with the nature of the data. For example it is known that most of the usual measures of difference are not compatible with the compositional character of the data. Also transformations of dissimilarities that improve the dissimilarity properties are important.
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