Thesis Details

Analýza dat na sociálních sítích s využitím dolování dat

Master's Thesis Student: Sedlák Jan Academic Year: 2014/2015 Supervisor: Bartík Vladimír, Ing., Ph.D.
English title
Analysis of Data on Social Networks Based on Data Mining
Language
Czech
Abstract
This thesis deals with data mining on social networks. It introduces data mining itself and its utilization on data analysis on social networking services. It analyses APIs of Facebook, Twitter, Google+, LinkedIn and GitHub with respect to data mining. It presents implementation of application for downloading dataset from GitHub and it deals with experiments with obtained dataset. Finally, it introduces design and implementation of application that analyses future project activity.
Keywords

data mining, social networks, GitHub, machine learning

Department
Degree Programme
Information Technology, Field of Study Intelligent Systems
Files
Status
defended, grade A
Date
24 June 2015
Reviewer
Committee
Zbořil František V., doc. Ing., CSc. (DITS FIT BUT), předseda
Bidlo Michal, doc. Ing., Ph.D. (DCSY FIT BUT), člen
Češka Milan, prof. RNDr., CSc. (DITS FIT BUT), člen
Lucká Mária, prof. RNDr., Ph.D. (FIIT STU), člen
Očenášek Pavel, Mgr. Ing., Ph.D. (DIFS FIT BUT), člen
Švéda Miroslav, prof. Ing., CSc. (DIFS FIT BUT), člen
Citation
SEDLÁK, Jan. Analýza dat na sociálních sítích s využitím dolování dat. Brno, 2015. Master's Thesis. Brno University of Technology, Faculty of Information Technology. 2015-06-24. Supervised by Bartík Vladimír. Available from: https://www.fit.vut.cz/study/thesis/17413/
BibTeX
@mastersthesis{FITMT17413,
    author = "Jan Sedl\'{a}k",
    type = "Master's thesis",
    title = "Anal\'{y}za dat na soci\'{a}ln\'{i}ch s\'{i}t\'{i}ch s vyu\v{z}it\'{i}m dolov\'{a}n\'{i} dat",
    school = "Brno University of Technology, Faculty of Information Technology",
    year = 2015,
    location = "Brno, CZ",
    language = "czech",
    url = "https://www.fit.vut.cz/study/thesis/17413/"
}
Back to top