Razvrstavanje vremenskih nizova temeljeno na fragmentaciji kvalitativnog prostora

Jagnjić, Željko

prikaz prve stranice dokumenta Razvrstavanje vremenskih nizova temeljeno na fragmentaciji kvalitativnog prostora

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doctoral thesis

Razvrstavanje vremenskih nizova temeljeno na fragmentaciji kvalitativnog prostora

Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2009. urn:nbn:hr:168:724741

Jagnjić, Željko

University of Zagreb
Faculty of Electrical Engineering and Computing
Department of Electronics, Microelectronics, Computer and Intelligent Systems

Cite this document

APA 6th Edition

Jagnjić, Ž. (2009). Razvrstavanje vremenskih nizova temeljeno na fragmentaciji kvalitativnog prostora (Doctoral thesis). Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:724741

MLA 8th Edition

Jagnjić, Željko. "Razvrstavanje vremenskih nizova temeljeno na fragmentaciji kvalitativnog prostora." Doctoral thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2009. https://urn.nsk.hr/urn:nbn:hr:168:724741

Chicago 17th Edition

Harvard

Jagnjić, Ž. (2009). 'Razvrstavanje vremenskih nizova temeljeno na fragmentaciji kvalitativnog prostora', Doctoral thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 16 January 2021, https://urn.nsk.hr/urn:nbn:hr:168:724741

Vancouver

Jagnjić Ž. Razvrstavanje vremenskih nizova temeljeno na fragmentaciji kvalitativnog prostora [Doctoral thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2009 [cited 2021 January 16] Available at: https://urn.nsk.hr/urn:nbn:hr:168:724741

IEEE

Ž. Jagnjić, "Razvrstavanje vremenskih nizova temeljeno na fragmentaciji kvalitativnog prostora", Doctoral thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2009. Available at: https://urn.nsk.hr/urn:nbn:hr:168:724741

Cite this item: https://urn.nsk.hr/urn:nbn:hr:168:724741

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Metadata

Title	Razvrstavanje vremenskih nizova temeljeno na fragmentaciji kvalitativnog prostora
Title (english)	Time-series classification based on qualitative space fragmentation
Author	Željko Jagnjić
Mentor	Nikola Bogunović (mentor)
Committee member	Slobodan Ribarić (predsjednik povjerenstva)
Committee member	Nikola Bogunović (član povjerenstva)
Committee member	Franjo Jović (član povjerenstva)
Committee member	Zoran Kalafatić (član povjerenstva)
Committee member	Ivan Petrović (član povjerenstva)
Granter	University of Zagreb Faculty of Electrical Engineering and Computing (Department of Electronics, Microelectronics, Computer and Intelligent Systems) Zagreb
Defense date and country	2009-03-26, Croatia
Scientific / art field, discipline and subdiscipline	TECHNICAL SCIENCES Computing
Universal decimal classification (UDC)	004 GENERALLY Computer science and technology. Computing. Data processing
Abstract	U ovom radu prikazana je nova metoda razvrstavanja vremenskih nizova koja se temelji na fragmentaciji kvalitativnog prostora. Osnovu metode čine postupci potpunog oduzimanja i kvalitativnog kodiranja. Takvim se pristupom kvantitativne veličine vremenskih nizova preslikavaju u kvalitativan prostor koji se predočuje kvalitativnim matricama. Kvalitativne matrice omogućile su nov način predstavljanja i analize vremenskih nizova koji je blizak ljudskom poimanju podataka, a temelji se na vizualizaciji podataka i opisivanju slikovnih oblika. Predloženi osnovni skup simboličkih i numeričkih značajki iskorišten je u procesu strojnog učenja, odnosno kreiranju stabla odlučivanja te procesu razvrstavanja. Testiranjem na različitim vremenskim nizovima pokazane su prednosti i nedostatci nove metode u odnosu na poznate postupke.
Abstract (english)	In this work a new time-series classification method based on qualitative space fragmentation has been presented. The main features of the proposed method are global differencing and qualitative coding. With such an approach, quantitative data of the considered time-series are translated into qualitative space, which can be observed through qualitative matrices. Qualitative matrix form provides the means for a new approach to time-series analysis, which is closely related to human way of data interpretation based on data visualization and shape description. Basic set of symbolic and numeric data features have been defined and used in machine learning process through the decision tree induction and classification. Extensive testing with different time-series has revealed key advantages of the presented method, but also exposed some limitations as compared to other approaches.
Keywords
Keywords (english)
Language	croatian
URN:NBN	urn:nbn:hr:168:724741
Project	Number: 036-0362980-1921 Title: Računalne okoline za sveprisutne raspodijeljene sustave Leader: Siniša Srbljić Jurisdiction: Croatia Funder: MZOS Funding stream: ZP
Study programme	Title: Computer Science Study programme type: university Study level: postgraduate Academic / professional title: Doktor znanosti (Doktor znanosti)
Catalog URL	http://lib.fer.hr/cgi-bin/koha/opac-detail.pl?biblionumber=33342
Type of resource	Text
Extent	149 str.
File origin	Born digital
Access conditions	Closed access
Terms of use
Repository	FER Repository
Created on	2020-03-24 11:56:29

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