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Description
  • 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, consisted on 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.
  • 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, consisted on 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. (en)
Title
  • Analysis of Social Networks Extracted from Log Files
  • Analysis of Social Networks Extracted from Log Files (en)
skos:prefLabel
  • Analysis of Social Networks Extracted from Log Files
  • Analysis of Social Networks Extracted from Log Files (en)
skos:notation
  • RIV/61989100:27240/10:86076515!RIV11-MSM-27240___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • S
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 246467
http://linked.open...ai/riv/idVysledku
  • RIV/61989100:27240/10:86076515
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Social network, log files, analysis of social network, similarity , elearning (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [8C720AC7EA22]
http://linked.open...i/riv/mistoVydani
  • New York
http://linked.open...vEdiceCisloSvazku
  • Neuveden
http://linked.open...i/riv/nazevZdroje
  • Handbook of Social Network Technologies and Applications
http://linked.open...in/vavai/riv/obor
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http://linked.open...v/pocetStranKnihy
http://linked.open...cetTvurcuVysledku
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Dráždilová, Pavla
  • Martinovič, Jan
  • Snášel, Václav
  • Slaninová, Kateřina
  • Obadi, Gamila Ahmed
number of pages
http://purl.org/ne...btex#hasPublisher
  • SPRINGER
https://schema.org/isbn
  • 978-1-4419-7141-8
http://localhost/t...ganizacniJednotka
  • 27240
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