Deep Learning for Distribution Channels' Management

Autor:	Sabina-Cristiana NECULA
Jazyk:	English<br />Romanian; Moldavian; Moldovan
Rok vydání:	2017
Předmět:	Artificial Neural Network Distribution Channel Self-Organizing Maps Deep Learning Computer engineering. Computer hardware TK7885-7895 Bibliography. Library science. Information resources
Zdroj:	Informatică economică, Vol 21, Iss 4, Pp 73-84 (2017)
Druh dokumentu:	article
ISSN:	1453-1305 1842-8088 14531305 14406969
DOI:	10.12948/issn14531305/21.4.2017.06
Popis:	This paper presents an experiment of using deep learning models for distribution channel management. We present an approach that combines self-organizing maps with artificial neural network with multiple hidden layers in order to identify the potential sales that might be addressed for channel distribution change/ management. Our study aims to highlight the evolution of techniques from simple features/learners to more complex learners and feature engineering or sampling techniques. This paper will allow researchers to choose best suited techniques and features to prepare their churn prediction models.
Databáze:	Directory of Open Access Journals
Externí odkaz:	https://doaj.org/article/34b5ddd41aa144069698ffc11060bf53 Zobrazit plný text záznamu View record in DOAJ Plný text ve formátu PDF