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Data Mining (UNINE)

  • Enseignant(s):  
  • Titre en français: Le data mining (UNINE)
  • Cours donné en: anglais
  • Crédits ECTS:
  • Horaire: Semestre d'automne 2018-2019, 4.0h. de cours (moyenne hebdomadaire)
      WARNING :   this is an old version of the syllabus, old versions contain   OBSOLETE   data.
  •  séances
  • site web du cours site web du cours
  • Formations concernées:

 

Objectifs

A student attending this course should be able to: - Understand the features and principles of data mining - Identify the business problems for which a data mining approach is appropriate - Select, explore and transform data to bring the information to the surface - Build and assess data mining models (decision trees, clustering, association rules,..) - Evaluate and measure the results of the model deployment

Contenus

- Introduction: Machine Learning and Data Mining - Machine Learning and Classification - Input: Concepts, Instances, Attributes - Output: Knowledge Representation - Data Preparation for Knowledge Discovery - Classification - Basic Methods - Classification: Decision Trees - Classification: C4.5 - Classification: CART - Classification: Rules, Regression, K-Nearest Neighbour - Evaluation and Credibility - Evaluation - Lift and Costs - Clustering - Associations Rules - Data Mining and Visualization - Summarization and Deviation Detection - Applications: Targeted Marketing, KDD Cup, and Customer Modeling - Data Mining and Society; Future Directions

Références

Data Mining: Practical Machine Learning Tools and Techniques, Ian H. Witten, Eibe Frank, Second Edition, 2005, ISBN: 0-12-088407-0

Evaluation

1ère tentative

Examen:
Ecrit 2h00 heures
Documentation:
Autorisée avec restrictions
Calculatrice:
Autorisée avec restrictions
Evaluation:

EXAMEN ORGANISE PAR NEUCHATEL
2-hour written exam during the semester (60%) and project/exercises (40%)
Allowed documents during exams: course slides with annotations.
Connected devices are not permitted during the exams.In case of violation of this rule, the students are in a situation of fraud and the unauthorised items will be removed. The exam could be deemed as failed.

Rattrapage

Examen:
Ecrit 2h00 heures
Documentation:
Autorisée avec restrictions
Calculatrice:
Autorisée avec restrictions
Evaluation:

EXAMEN ORGANISE PAR NEUCHATEL
2-hour written exam during the autumn exam session(100%)
Allowed documents during exams: course slides with annotations.
Connected devices are not permitted during the exams.In case of violation of this rule, the students are in a situation of fraud and the unauthorised items will be removed. The exam could be deemed as failed.



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