Uporaba orodja Orange za podatkovno rudarjenje

Kos, Damir

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Title:	Uporaba orodja Orange za podatkovno rudarjenje
Authors:	ID Kos, Damir (Author) ID Podgorelec, Vili (Mentor) More about this mentor... ID Karakatič, Sašo (Comentor)
Files:	VS_Kos_Damir_2017.pdf (2,35 MB) MD5: 631EFD42B68CAB7C8B0B19B3930EB98A PID: 20.500.12556/dkum/f9a1c980-01c4-4487-9a54-2b47589e4241
Language:	Slovenian
Work type:	Bachelor thesis/paper
Typology:	2.11 - Undergraduate Thesis
Organization:	FERI - Faculty of Electrical Engineering and Computer Science
Abstract:	Ob vse večjem številu informacij, ki krožijo na najrazličnejše načine, je podatkovno rudarjenje za uspešno in učinkovito rabo informacij ključnega pomena. Preko podatkovnega rudarjenja namreč dosežemo rezultate, s katerimi ugotovimo ustreznost informacij, odpravimo pomanjkljivosti, poiščemo vzorce, znanje in podobno. V diplomskem delu je predstavljen program Orange, delo z njim, njegova uporaba ter nekatere lastnosti. Glavni segmenti podatkovnega rudarjenja s programom Orange, ki so predstavljeni v diplomskem delu, so klasifikacija, gručenje in pred procesiranje podatkov. Praktični del diplomskega dela, ki je hkrati ključen, je razdeljen na tri dele. Prvi del predstavlja vse tri glavne segmente preko uporabniškega vmesnika, drugi del preko kode, v tretjem delu pa se nato prikaže izgradnja lastnega modula in njegova uporaba.
Keywords:	podatkovno rudarjenje, orodje Orange, klasifikacija, gručenje, predprocesiranje podatkov
Place of publishing:	[Maribor
Publisher:	D. Kos
Year of publishing:	2017
PID:	20.500.12556/DKUM-67152
UDC:	004.627(043.2)
COBISS.SI-ID:	20909078
NUK URN:	URN:SI:UM:DK:G6M8B3XE
Publication date in DKUM:	24.10.2017
Views:	2756
Downloads:	387
Metadata:
Categories:	KTFMB - FERI
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Licences

License:	CC BY-NC-ND 4.0, Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International

Link:	http://creativecommons.org/licenses/by-nc-nd/4.0/
Description:	The most restrictive Creative Commons license. This only allows people to download and share the work for no commercial gain and for no other purposes.
Licensing start date:	03.08.2017

Secondary language

Language:	English
Title:	Using Orange for data mining
Abstract:	Due to increasing amount of information circulating in various ways, data mining for efficient and effective use of information is crucial. With data mining, it is possible to determine the suitability of information, to eliminate the deficiencies, to find patterns, knowledge, etc.. This thesis focuses on a program Orange, work with it, its use and some of its features. The main segments of data mining with program Orange which are analysed in the thesis are classification, clustering and data pre-processing. Practical part of the thesis at hand, which is also crucial, is divided into three parts, where the first part presents three main segments with the user interface, the second part with the code, and lastly, the third part shows construction of private module and its use.
Keywords:	data mining, Orange, classification, clustering, preprocess

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