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Reseach Article

Systematic Brain Data Analysis: A Review

by Hamid Faisal, Shruti Kolte, Vikrant Chole
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 110 - Number 5
Year of Publication: 2015
Authors: Hamid Faisal, Shruti Kolte, Vikrant Chole

Hamid Faisal, Shruti Kolte, Vikrant Chole . Systematic Brain Data Analysis: A Review. International Journal of Computer Applications. 110, 5 ( January 2015), 1-5. DOI=10.5120/19309-0761

@article{ 10.5120/19309-0761,
author = { Hamid Faisal, Shruti Kolte, Vikrant Chole },
title = { Systematic Brain Data Analysis: A Review },
journal = { International Journal of Computer Applications },
issue_date = { January 2015 },
volume = { 110 },
number = { 5 },
month = { January },
year = { 2015 },
issn = { 0975-8887 },
pages = { 1-5 },
numpages = {9},
url = { },
doi = { 10.5120/19309-0761 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
%0 Journal Article
%1 2024-02-06T22:46:03.503957+05:30
%A Hamid Faisal
%A Shruti Kolte
%A Vikrant Chole
%T Systematic Brain Data Analysis: A Review
%J International Journal of Computer Applications
%@ 0975-8887
%V 110
%N 5
%P 1-5
%D 2015
%I Foundation of Computer Science (FCS), NY, USA

The Brain Data Analysis and evaluation is a challenging task. Focusing towards the human-thinking-centric studies characteristics, brain informatics (BI) emphasizes a systematic methodology with key issue of systematic brain data analysis. The brain data analytical methods are very rare and thus brain data research and implementation is more challenging. This paper reviews the existing research and methodologies developed so far, in the area of Brain Informatics, Web Intelligence, Learning Schemes, Analytical methods and relevant aspects of these along with their limitations. More data and analytical methods need to be added in the existing BI approaches. Also, there is high need to embed these into a mature computing environment.

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Index Terms

Computer Science
Information Sciences


Brain Informatics (BI) ontologies domain driven data mining process planning Human Information Processing System (HIPS)