Exploratory data analysis of software requirements using statistics and kohonen's self-organizing map

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27230%2F18%3A10238783" target="_blank" >RIV/61989100:27230/18:10238783 - isvavai.cz</a>

Alternative codes found

RIV/61989100:27240/18:10238783 RIV/61989100:27730/18:10238783 RIV/61989100:27740/18:10238783

Result on the web

<a href="https://link.springer.com/chapter/10.1007/978-3-319-60834-1_9" target="_blank" >https://link.springer.com/chapter/10.1007/978-3-319-60834-1_9</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-319-60834-1_9" target="_blank" >10.1007/978-3-319-60834-1_9</a>

Result language

angličtina

Original language name

Exploratory data analysis of software requirements using statistics and kohonen's self-organizing map

Original language description

Many factors affect the success of prediction using Machine-Learning on given task. The quality of provided data is one of the key factors which influence accuracy of Machine-Learning (ML) and Artificial Intelligence (AI) algorithms. The main goal of this research is to explore data, choose the right parameters and remove noisy items before usage of ML or AI. This research provides results of exploratory data analysis of software requirements collected from Software Company. Presented results help identify general patterns in the dataset of software requirements for future prediction purposes. (C) 2018, Springer International Publishing AG.

Czech name

—

Czech description

—

Type

D - Article in proceedings

CEP classification

—

OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

<a href="/en/project/LO1404" target="_blank" >LO1404: Sustainable Development of Center ENET</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Publication year

2018

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

Advances in intelligent systems and computing. Volume 565

ISBN

978-3-319-60833-4

ISSN

2194-5357

e-ISSN

neuvedeno

Number of pages

10

Pages from-to

77-86

Publisher name

Springer

Place of publication

Berlin

Event location

Marrákeš

Event date

Nov 21, 2016

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

—