Pregled bibliografske jedinice broj: 1228788
Big Data Pre-processing and Analysis Using Select Methods in Programming Language R
Big Data Pre-processing and Analysis Using Select Methods in Programming Language R, 2021., diplomski rad, preddiplomski, Fakultet organizacije i informatike, Varaždin
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Naslov
Big Data Pre-processing and Analysis Using Select
Methods in Programming Language R
Autori
Parać, Ivan Jure
Vrsta, podvrsta i kategorija rada
Ocjenski radovi, diplomski rad, preddiplomski
Fakultet
Fakultet organizacije i informatike
Mjesto
Varaždin
Datum
30.08
Godina
2021
Stranica
44
Mentor
Okreša Đurić, Bogdan ; Schatten, Markus
Ključne riječi
artificial intelligence ; machine learning ; r ; big data ; preprocessing ; data analysis ; regression
Sažetak
The topic of this thesis is focused on preprocessing and analysis methods in the domain of big data. The theoretical part of the thesis is expected to include topics pertaining to the methods of preprocessing data (e.g. dealing with missing data, encoding data, sampling training vs. learning sets of data, feature scaling, etc.), and an overview of a set of select methods of big data analysis. The practical part of the thesis is expected to feature the application of some of the described methods on a chosen data set, implemented in programming language R.
Izvorni jezik
Engleski
Znanstvena područja
Informacijske i komunikacijske znanosti
POVEZANOST RADA
Ustanove:
Fakultet organizacije i informatike, Varaždin