Advances in Economics and Business Vol. 3(8), pp. 329 - 336
DOI: 10.13189/aeb.2015.030805
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Knowledge Discovery Using an Integration of Clustering and Classification to Support Decision-making in E-commerce


Vitor Campos *, Carlos Bueno , Jacques Brancher , Fabio Matsunaga , Rafael Negrao
Department of Computer, State University of Londrina, Brazil

ABSTRACT

The ability of managers to analyze large volumes of data is not enough to identify all relevant associations and necessary for the decision-making process. Make use of a classification model and clustering model can generate information that typically a manager could not create without the utilization of this technology. The aim of this work is to reach a classification model linking them to clusters, based on data from purchases made by customers through electronic media in an automated manner. Precisely this model presents a set of rules to assist in decision-making applicable to a sale of vehicles, parts and accessories. For the construction of this model, we applied a process of knowledge discovery in databases. In which classification techniques and clustering techniques was evaluated in an experiment regarding accuracy, interpretability and learned a model of the computing performance. Data mining has been used to find this classifier.

KEYWORDS
E-commerce, Decision Making, Data Mining, J48, JRip, REPTree, PART, Classification, Cluster

Cite This Paper in IEEE or APA Citation Styles
(a). IEEE Format:
[1] Vitor Campos , Carlos Bueno , Jacques Brancher , Fabio Matsunaga , Rafael Negrao , "Knowledge Discovery Using an Integration of Clustering and Classification to Support Decision-making in E-commerce," Advances in Economics and Business, Vol. 3, No. 8, pp. 329 - 336, 2015. DOI: 10.13189/aeb.2015.030805.

(b). APA Format:
Vitor Campos , Carlos Bueno , Jacques Brancher , Fabio Matsunaga , Rafael Negrao (2015). Knowledge Discovery Using an Integration of Clustering and Classification to Support Decision-making in E-commerce. Advances in Economics and Business, 3(8), 329 - 336. DOI: 10.13189/aeb.2015.030805.