Web usage mining: Data pre-processing impact on found knowledge in predictive modelling

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25410%2F20%3A39915411" target="_blank" >RIV/00216275:25410/20:39915411 - isvavai.cz</a>

Result on the web

<a href="https://www.sciencedirect.com/science/article/pii/S1877050920309832?via%3Dihub" target="_blank" >https://www.sciencedirect.com/science/article/pii/S1877050920309832?via%3Dihub</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.procs.2020.04.018" target="_blank" >10.1016/j.procs.2020.04.018</a>

Result language

angličtina

Original language name

Web usage mining: Data pre-processing impact on found knowledge in predictive modelling

Original language description

We describe the importance of pre-procesing data phase in the web usage mining and the impact of mistake during this phase to the analysis of the data in this article.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

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OECD FORD branch

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

Project

—

Continuities

S - Specificky vyzkum na vysokych skolach

Publication year

2020

Confidentiality

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

Article name in the collection

Procedia Computer Science : Third International Conference on Computing and Network Communications (CoCoNet&apos;19)

ISBN

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ISSN

1877-0509

e-ISSN

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Number of pages

11

Pages from-to

168-178

Publisher name

Elsevier Science BV

Place of publication

Amsterdam

Event location

Trivadrum

Event date

Dec 18, 2019

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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