Web Mining

mlsmm2153  2020-2021  Mons

Web Mining
Due to the COVID-19 crisis, the information below is subject to change, in particular that concerning the teaching mode (presential, distance or in a comodal or hybrid format).
5 credits
30.0 h
Q1
Teacher(s)
Fouss François; Francq Pascal; Saerens Marco (compensates Fouss François);
Language
English
Bibliography
  • MCILWRAITH D., MARMANIS H., BABENKO D. 2nd ed, Algorithms of the Intelligent Web, Manning Publications, 2016.
  • LANGVILLE A., MEYER C., Google’s PageRank and Beyond : The Science of Search Engine Rankings, Princeton University Press, 2012.
  • FOUSS F., SAERENS M., SHIMBO M., Algorithms and Models for Network Data and Link Analysis, Cambridge University Press, 2016.
  • AMINI M.-R., GAUSSIER E., Recherche d’information : Applications, modèles et algorithmes, Eyrolles, 2013.
  • MANNING C. D., RAGHAVAN P., SCHÜTZE H., Introduction to Information Retrieval, Cambridge University Press, 2008.
  • MARTIN A., CHARTIER M., ANDRIEU O., Techniques de référencement web : Audit et suivi SEO, Eyrolles, 2016.
Faculty or entity
CLSM


Programmes / formations proposant cette unité d'enseignement (UE)

Title of the programme
Sigle
Credits
Prerequisites
Aims
Master [120] in Data Science : Statistic

Master [120] : Business Engineering

Master [120] : Business Engineering