Predočavanje velike količine podataka primjenom interaktivne vizualne analize

scientific master's theses

• Author: Tihomir Blaškić; VIAF: 24226543
• Mentor: Damir Kalpić (mentor)
• Committee member: Bojana Dalbelo-Bašić (predsjednik povjerenstva)
• Committee member: Damir Kalpić (član povjerenstva)
• Committee member: Katarina Ćurko (član povjerenstva)
• Granter: University of Zagreb; Faculty of Electrical Engineering and Computing; (Department of Applied Computing); Zagreb
• Defense date and country: 2008-06-06, Croatia
• Scientific / art field, discipline and subdiscipline: TECHNICAL SCIENCES; Computing; Information Systems
• Scientific / art field, discipline and subdiscipline: TECHNICAL SCIENCES; Computing; Artificial Intelligence
• Universal decimal classification (UDC): 004 - Computer science and technology. Computing. Data processing

Abstract

Podaci koji se generiraju kao posljedica suvremenog poslovanja, nagomilavaju se i pohranjuju brže nego što rastu mogućnosti njihove obrade. Mnogima su oni suvišan teret, dok je znatno manje onih koji ih uz pomoć specijaliziranih alata i metoda uspijevaju efikasno analizirati, kako bi poboljšali uspješnost poslovanja. Ovaj rad prikazuje interaktivnu vizualnu metodu kao način predočavanja i razumijevanja velike količine podataka, u svrhu spoznaje korisnih informacija sadržanih u njima. Prvenstveno se misli na potvrđivanje ili opovrgavanje postavljenih teza i otkrivanje neočekivanih pravilnosti. U svrhu približavanja metodologije čitatelju, ukratko je sistematizirana klasifikacija podataka i za to vezani termini. Objašnjen je i općeniti model podataka; način na koji podaci koreliraju, te različiti skupovi prema njihovim strukturama i ulogama u analizi. Objašnjen je pojam vizualizacije i dan kratki opis povijesti njenog razvoja. Slijedi opis svake od faza vizualizacije i za to vezanih pojmova i postupaka, a završava pregledom najčešćih tipova prikaza. Uvođenjem interaktivnosti, ulazimo u područje interaktivne vizualne analize. Tu se čitatelja upoznaje s osnovnim tehnikama postizanja interaktivnosti vizualizacije i načinima njihove primjena na različite grafičke prikaze. Navode se neki programski alati namijenjeni interaktivnoj vizualnoj analizi, s fokusom na ComVis – alat za općenitu primjenu koji je korišten u našem primjeru. Opisana metodologija detaljno je ilustrirana na primjeru analize stvarnog skupa podataka o prodaji artikala u velikom trgovačkom centru, kako bi se prikazao pristup u traženju spoznaja koje bi mogle pomoći boljem razumijevanju i poboljšavanju poslovanja.

Abstract (english)

The amount of data that is being generated and collected as a by-product of contemporary business processes grows faster than the ability to process them. To a many, they are an excessive load, but there is much less those who, by means of specialized tools and methods, manage to analyze that data efficiently in order to improve their business results. This thesis illustrates the Interactive Visual Analysis as a way of presentation of large amounts of data, in order to reveal and understand the underlying information. Primarily, by means of proofing or disproving presumed thesis and revealing unexpected regularities. In order to familiarize the reader with the methodology, a short systematization of data and related terms is given. A general model of data is also presented; the way the data correlate mutually, different sets regarding their structure and role in the analysis. The term "visualization" has been explained and a brief description of the visualization history is given. Each phase of the process is described, together with the related terms and procedures, concluding with an overview of the most used chart types. By introducing interactivity, we enter the domain of Interactive Visual Analysis. The reader is introduced with basic techniques of achieving interactivity in visualization, and their application on different chart types. A few commercial software tools are listed, with the emphasis on ComVis – general purpose Interactive Visual Analysis tool,used in our example. The described methodology is depicted in details through an example on a real data set, gathered from POS terminals a hypermarket, in order to illustrate an approach to discover cognitions which may help in better understanding and improvement of the business activities.

• Keywords: interaktivna vizualna analiza; klasifikacija podataka; vizualizacija; grafički prikazi; ComVis; alat za vizualizaciju; računi; blagajne
• Keywords (english): interactive visual analysis; data classification; visualization; data charts; ComVis; visualization tools; receipt analysis; POS
• Language: croatian
• URN:NBN: urn:nbn:hr:168:817229
• Promotion: 2020
• Study programme: Title: Postgraduate master programe in computing; Study programme type: university; Study level: postgraduate; Academic / professional title: magistar inženjer računarstva (magistar inženjer računarstva)
• Type of resource: Text
• File origin: Born digital
• Access conditions: Closed access
• Created on: 2020-05-18 08:18:42