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Title:KLASIFICIRANJE S POMOČJO PODATKOVNE GRAVITACIJE
Authors:ID Heričko, Aljaž (Author)
ID Podgorelec, Vili (Mentor) More about this mentor... New window
Files:.pdf UNI_Hericko_Aljaz_2014.pdf (1,66 MB)
MD5: 97A59111CEFD8DA57FD75E10C21C07CC
 
Language:Slovenian
Work type:Bachelor thesis/paper
Typology:2.11 - Undergraduate Thesis
Organization:FERI - Faculty of Electrical Engineering and Computer Science
Abstract:V diplomski nalogi predstavimo osnovne značilnosti klasifikacijskih pristopov, ki temeljijo na podatkovni gravitaciji ter predlagamo nov klasifikacijski algoritem in klasifikator, ki temelji na principu podatkovne gravitacije. Učinkovitost predlaganega klasifikatorja v smislu točnosti razvrščanja smo ovrednotili na naboru sedmih standardnih podatkovnih zbirk in rezultate primerjali z drugimi uveljavljenimi klasifikacijskimi algoritmi. Na osnovi rezultatov eksperimentalne študije lahko sklepamo, da predlagani klasifikator, podobno kot nekateri drugi na podatkovni gravitaciji temelječi pristopi, zagotavljajo zadovoljive in primerljive rezultate nad standardnimi testnimi podatkovnimi množicami.
Keywords:umetna inteligenca, strojno učenje, podatkovna gravitacija, tehnike klasifikacije, orodje Weka
Place of publishing:Maribor
Publisher:[A. Heričko]
Year of publishing:2014
PID:20.500.12556/DKUM-45992 New window
UDC:004.6:004.896(043.2)
COBISS.SI-ID:18540822 New window
NUK URN:URN:SI:UM:DK:ALFMZU39
Publication date in DKUM:25.02.2015
Views:2309
Downloads:183
Metadata:XML DC-XML DC-RDF
Categories:KTFMB - FERI
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Secondary language

Language:English
Title:DATA GRAVITATION BASED CLASSIFICATION
Abstract:In this diploma work a new classification algorithm and a corresponding classifier named Simple Data Gravitation based Classifier (SDGC) is proposed. The efficiency of the proposed classifier was evaluated using seven standard data sets and compared to the results of selected well-known classification algorithms. Results of the conducted experimental study illustrate that the proposed classifier gives promising results on standard test data.
Keywords:artificial intelligence, machine learning, data gravitation, classification methods, Weka


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