The retailing Oracle

M. Casabayó

The retailing Oracle

Esade

Research output: Not indexed journal article › Article

Abstract

The paper presented here is part of a larger project, which aims to demonstrate the link between an Artificial Intelligence software tool called LAMDA (Learning Algorithm for Multivariate Data Analysis) and Retailing. Particularly, in this article the LAMDA classifier [1] is employed to forecast the online purchasing customers. The data is collected from the loyalty card of a Spanish retailer: Supermercats Pujol.

Original language	English
Pages	15-19
Specialist publication	Expert Update
Publication status	Published - 1 Jun 2005

Cite this

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title = "The retailing Oracle",

abstract = "The paper presented here is part of a larger project, which aims to demonstrate the link between an Artificial Intelligence software tool called LAMDA (Learning Algorithm for Multivariate Data Analysis) and Retailing. Particularly, in this article the LAMDA classifier [1] is employed to forecast the online purchasing customers. The data is collected from the loyalty card of a Spanish retailer: Supermercats Pujol.",

author = "M. Casabay{\'o}",

year = "2005",

month = jun,

day = "1",

language = "English",

pages = "15--19",

journal = "Expert Update",

issn = "1465-4091",

publisher = "British Computer Society. Specialist Group on Artificial Intelligence (BCS SGAI)",

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AB - The paper presented here is part of a larger project, which aims to demonstrate the link between an Artificial Intelligence software tool called LAMDA (Learning Algorithm for Multivariate Data Analysis) and Retailing. Particularly, in this article the LAMDA classifier [1] is employed to forecast the online purchasing customers. The data is collected from the loyalty card of a Spanish retailer: Supermercats Pujol.

M3 - Article

SN - 1465-4091

SP - 15

EP - 19

JO - Expert Update

JF - Expert Update

ER -

The retailing Oracle

Abstract

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