Overlap versus partition: marketing classification and customer profiling in complex networks ID products (Contributo in atti di convegno)

Type

• Prodotto della ricerca (Classe)
• Contributo in atti di convegno (Classe)

Label

• Overlap versus partition: marketing classification and customer profiling in complex networks ID products (Contributo in atti di convegno) (literal)

Anno

• 2014-01-01T00:00:00+01:00 (literal)

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

• 10.1109/ICDEW.2014.6818312 (literal)

Alternative label

• Pennacchioli D., Coscia M., Pedreschi D. (2014)
  Overlap versus partition: marketing classification and customer profiling in complex networks ID products
  in ICDEW 2014 - 30th Data Engineering Workshops, in conjunction with ICDE 2014, Chicago, IL, USA, 31 March - 4 April 2014
  (literal)

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

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

Pagina inizio

• 103 (literal)

Pagina fine

• 110 (literal)

Note

• PuMa (literal)

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

• IMT, Institutions, Markets, Technology, Lucca - CNR-ISTI, Pisa; CID, Harward University, USA; Computer Science Department, University of Pisa; (literal)

Titolo

• Overlap versus partition: marketing classification and customer profiling in complex networks ID products (literal)

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

• 978-1-4799-3481-2 (literal)

Abstract

• In recent years we witnessed the explosion in the availability of data regarding human and customer behavior in the market. This data richness era has fostered the development of useful applications in understanding how markets and the minds of the customers work. In this paper we focus on the analysis of complex networks based on customer behavior. Complex network analysis has provided a new and wide toolbox for the classic data mining task of clustering. With community discovery, i.e. the detection of functional modules in complex networks, we are now able to group together customers and products using a variety of different criteria. The aim of this paper is to explore this new analytic degree of freedom. We are interested in providing a case study uncovering the meaning of different community discovery algorithms on a network of products connected together because co-purchased by the same customers. We focus our interest in the different interpretation of a partition approach, where each product belongs to a single community, against an overlapping approach, where each product can belong to multiple communities. We found that the former is useful to improve the marketing classification of products, while the latter is able to create a collection of different customer profiles. (literal)

Editore

• IEEE (Editore)

Prodotto di

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

Autore CNR

• Diego Pennacchioli (Persona)

Insieme di parole chiave

• Parole chiave di "Overlap versus partition: marketing classification and customer profiling in complex networks ID products" (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

• Diego Pennacchioli (Persona)

Editore di

• IEEE (Editore)

Insieme di parole chiave di

• Parole chiave di "Overlap versus partition: marketing classification and customer profiling in complex networks ID products" (Insieme di parole chiave)