Calculating Product and Customer Sophistication on a Large Transactional Dataset (Rapporti tecnici/preprint/working paper)

Type

• Prodotto della ricerca (Classe)
• Rapporti tecnici/preprint/working paper (Classe)

Label

• Calculating Product and Customer Sophistication on a Large Transactional Dataset (Rapporti tecnici/preprint/working paper) (literal)

Anno

• 2013-01-01T00:00:00+01:00 (literal)

Alternative label

• Pennacchioli D., Coscia M., Giannotti F., Pedreschi D. (2013)
  Calculating Product and Customer Sophistication on a Large Transactional Dataset
  
  (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori

• Pennacchioli D., Coscia M., Giannotti F., Pedreschi D. (literal)

Note

• PuMa (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#supporto

• Altro (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni

• IMT, Lucca, Italy; CID, Harward University, USA; CNR-ISTI, Pisa, Italy; CNR-ISTI, Pisa, Italy. (literal)

Titolo

• Calculating Product and Customer Sophistication on a Large Transactional Dataset (literal)

Abstract

• The market basket transactions observed at microscale (each individual product bought by each individual customer at each store visit) over a large population for a long time, offer a detailed picture of customers' shopping activity. Given the high cardinality of such a detailed dataset, data mining techniques have been developed to let the hidden knowledge emerge from it. In this technical report, we propose to use the system of all customer-product connections as a whole. We create a framework able to exploit the characteristics of the customer-product matrix and we test it on a unique transaction database, recording the micro-purchases of a million customers observed for several years at the stores of the top national supermarket retailer. We propose it as a novel analytic paradigm for market basket analysis, a paradigm that is challenging both conceptually, given the high complexity of the structures we build, and computationally, given the scale of the data it needs to analyze (literal)

Prodotto di

• Knowledge Discovery and Data Mining (ICT.P08.009.003) (Modulo)
• Istituto di scienza e tecnologie dell'informazione \"Alessandro Faedo\" (ISTI) (Istituto)

Autore CNR

• DINO PEDRESCHI (Persona)
• FOSCA GIANNOTTI (Unità di personale interno)

Insieme di parole chiave

• Parole chiave di "Calculating Product and Customer Sophistication on a Large Transactional Dataset" (Insieme di parole chiave)

Incoming links:

Prodotto

• Istituto di scienza e tecnologie dell'informazione \"Alessandro Faedo\" (ISTI) (Istituto)
• Knowledge Discovery and Data Mining (ICT.P08.009.003) (Modulo)

Autore CNR di

• FOSCA GIANNOTTI (Unità di personale interno)
• DINO PEDRESCHI (Persona)

Insieme di parole chiave di

• Parole chiave di "Calculating Product and Customer Sophistication on a Large Transactional Dataset" (Insieme di parole chiave)