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

Kód výsledku v 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>

Nalezeny alternativní kódy

RIV/00216275:25410/15:39902624

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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

Název v anglickém jazyce

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

Popis výsledku anglicky

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

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

IN - Informatika

OECD FORD obor

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Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2015

Kód důvěrnosti údajů

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

Název periodika

E + M. Ekonomie a Management

ISSN

1212-3609

e-ISSN

—

Svazek periodika

18

Číslo periodika v rámci svazku

3

Stát vydavatele periodika

CZ - Česká republika

Počet stran výsledku

16

Strana od-do

144-159

Kód UT WoS článku

000361504100013

EID výsledku v databázi Scopus

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