DATA MINING FOR MARKETING
cod. 18639

Academic year 2008/09
2° year of course - First semester
Professor
Academic discipline
Statistica (SECS-S/01)
Field
Discipline matematico-statistiche
Type of training activity
Characterising
30 hours
of face-to-face activities
5 credits
hub: PARMA
course unit
in - - -

Learning objectives

The analysis of large data sets for business decisions.

Prerequisites

The course of "Analisi dei dati per il marketing"

Course unit content

<p><br />
Data mining and its role inside marketing decisions. Introduction to text mining and web mining.<br />
Exploratory data analysis for quantitative and qualitative variables. Correspondence analysis.<br />
Dissimilarity indexes and cluster analysis methods for segmentation of products and customers.<br />
Association indexes and their use in basket analysis<br />
 <br />
  </p>

Full programme

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Bibliography

<br />
<br />
ZANI S. – CERIOLI A., Analisi dei dati e Data Mining per le decisioni aziendali, Giuffrè Editore, Milano, 2007, chapters 3, 4, 7, 9, 11. <br />
<br />
T. HASTIE, R. TIBSHIRANI, J. FRIEDMAN, The elements of statististical learning. Data Mining, Inference and prediction, Springer-Verlag, New York, 2001.

Teaching methods

Oral lessons and written exam.

Assessment methods and criteria

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Other information

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