Web Mining

mlsmm2153  2019-2020  Mons

Web Mining
Note from June 29, 2020
Although we do not yet know how long the social distancing related to the Covid-19 pandemic will last, and regardless of the changes that had to be made in the evaluation of the June 2020 session in relation to what is provided for in this learning unit description, new learnig unit evaluation methods may still be adopted by the teachers; details of these methods have been - or will be - communicated to the students by the teachers, as soon as possible.
5 credits
30.0 h
Q1
Teacher(s)
Fouss François; Francq Pascal;
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] : Business Engineering

Master [120] : Business Engineering

Master [120] in Data Science : Statistic