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Title:UČINKOVITOST UČNIH ALGORITMOV NA VELIKIH PODATKIH
Authors:ID Gobar, Jože (Author)
ID Podgorelec, Vili (Mentor) More about this mentor... New window
ID Karakatič, Sašo (Comentor)
Files:.pdf UN_Gobar_Joze_2015.pdf (2,70 MB)
MD5: 0D700C3088C8AB6B4D193E84D509DA03
 
Language:Slovenian
Work type:Bachelor thesis/paper
Typology:2.11 - Undergraduate Thesis
Organization:FERI - Faculty of Electrical Engineering and Computer Science
Abstract:Tematika te diplomske naloge so veliki podatki, karakteristike velikih podatkov in učni algoritmi, ki jih uporabljamo za klasifikacijo. V diplomski nalogi predstavljam tudi rezultate eksperimenta, s katerim sem ugotavljal učinkovitost učnih algoritmov na velike podatke. Učinkovitost algoritmov sem ovrednotil s klasifikacijsko točnostjo in časovnim izvajanjem učnih algoritmov na podatkovnih množicah. Iz pridobljenih rezultatov lahko sklepam, da se algoritmi glede na dane podatkovne množice različno obnašajo ter da je izbira učnega algoritma za analizo podatkovnih množic odvisna predvsem od problema in zastavljenega cilja.
Keywords:veliki podatki, karakteristike velikih podatkov, strojno učenje, klasifikacija, učinkovitost učnih algoritmov
Place of publishing:[Maribor
Publisher:J. Gobar
Year of publishing:2015
PID:20.500.12556/DKUM-55207 New window
UDC:004.421:004.65(043.2)
COBISS.SI-ID:19253270 New window
NUK URN:URN:SI:UM:DK:5K8Z9EPX
Publication date in DKUM:22.10.2015
Views:1521
Downloads:100
Metadata:XML DC-XML DC-RDF
Categories:KTFMB - FERI
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Secondary language

Language:English
Title:EFFICIENCY OF LEARNING ALGORITHMS ON BIG DATA
Abstract:This thesis presents the subject of big data and its characteristics, learning algorithms applied in classification, as well as the results of an applied experiment in order to determine learning algorithms efficiency on big data. Algorithm efficiency has been assessed by classification accuracy and timely implementation of learning algorithms on datasets. The results indicate that algorithms perform differently considering given dataset and that preference of a learning algorithm intended for dataset analysis depends upon the posed problem and objective.
Keywords:big data, big data characteristics, machine learning, classification, learning algorithms efficiency


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