Analysis of Social Networks Extracted from Log Files

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F10%3A86076515" target="_blank" >RIV/61989100:27240/10:86076515 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Analysis of Social Networks Extracted from Log Files

Popis výsledku v původním jazyce

Modern applications like information, enterprise, e-commerce systems as well as monitoring applications, web applications and other systems generate huge amounts of data collections, often stored in log files. A log file is a simple text file, consistedon messages represented by the records of the activities provided. Whether the log record includes the information of the originator (a person, who performed the action), we can derive social networks on the basis of similar attributes of the persons and, in consequence, we can construct models that explain some aspects of persons' behavior. The chapter is oriented to significant data mining methods, used in recent research, with relation to social network analysis and with application to gathering information from the log files.

Název v anglickém jazyce

Analysis of Social Networks Extracted from Log Files

Popis výsledku anglicky

Modern applications like information, enterprise, e-commerce systems as well as monitoring applications, web applications and other systems generate huge amounts of data collections, often stored in log files. A log file is a simple text file, consistedon messages represented by the records of the activities provided. Whether the log record includes the information of the originator (a person, who performed the action), we can derive social networks on the basis of similar attributes of the persons and, in consequence, we can construct models that explain some aspects of persons' behavior. The chapter is oriented to significant data mining methods, used in recent research, with relation to social network analysis and with application to gathering information from the log files.

Druh

C - Kapitola v odborné knize

CEP obor

IN - Informatika

OECD FORD obor

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Projekt

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Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2010

Kód důvěrnosti údajů

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

Název knihy nebo sborníku

Handbook of Social Network Technologies and Applications

ISBN

978-1-4419-7141-8

Počet stran výsledku

31

Strana od-do

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Počet stran knihy

736

Název nakladatele

SPRINGER

Místo vydání

New York

Kód UT WoS kapitoly

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