Influence of ratio of auxiliary pages on the pre-processing phase of web usage mining

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23510%2F15%3A43925834" target="_blank" >RIV/49777513:23510/15:43925834 - isvavai.cz</a>

Alternative codes found

RIV/00216275:25410/15:39902624

Result on the web

<a href="http://dx.doi.org/10.15240/tul/001/2015-3-013" target="_blank" >http://dx.doi.org/10.15240/tul/001/2015-3-013</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.15240/tul/001/2015-3-013" target="_blank" >10.15240/tul/001/2015-3-013</a>

Result language

angličtina

Original language name

Influence of ratio of auxiliary pages on the pre-processing phase of web usage mining

Original language description

Data mining belongs to the one of the important tools for Business Intelligence. It is a means to increase competitiveness of a company. Web usage mining is engaged in data mining of web server log file and it analyzes the user's behavior on the web site. The first step of web usage mining process is data pre-processing obtained from a web log file. Data pre-processing is an important part of web usage mining. Discovering patterns of behavior of web visitors depends on the quality of pre-processing phase. Therefore it is important to understand the used methods. This paper summarizes the pre-processing phases and especially the phases of session identification. There are introduced two algorithms for data cleaning and session identification using the reference length method. The main aim of this paper is to compare a calculation of cutoff time and its influence on discovered useful, trivial and inexplicable rules. Cutoff time is an important part of the session identification using the

Czech name

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Czech description

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Type

J_x - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

CEP classification

IN - Informatics

OECD FORD branch

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Project

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Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2015

Confidentiality

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

Name of the periodical

E + M. Ekonomie a Management

ISSN

1212-3609

e-ISSN

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Volume of the periodical

18

Issue of the periodical within the volume

3

Country of publishing house

CZ - CZECH REPUBLIC

Number of pages

16

Pages from-to

144-159

UT code for WoS article

000361504100013

EID of the result in the Scopus database

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