Modeling of products sale velocity and products recommended structure on the basis of a data reduction method

Author

Pasichnyk, Roman ; Maslyyak, Bogdan ; Vitsentiy, Vitaliy

Author_Institution

Dept. of Modeling & Optimization of Econ. Syst. & Processes, Ternopil Acad. of Nat. Econ., Ukraine

fYear

2001

fDate

2001

Firstpage

238

Lastpage

241

Abstract

This article presents an algorithm for the selection of the most informative product parameters, so that the product sale velocity can be predicted. The method is based on statistical information about sales with the help of data mining procedures. The constructed decision tree allows one to refer an analyzable product according to its attribute values to a cluster of sale velocities. A decision tree structure gives developments of new product information about what attributes of products influence sales most essentially. It provides direct search to the designers

Keywords

data mining; data reduction; marketing data processing; product development; analyzable product; data mining; data reduction method; decision tree; decision tree structure; direct search; informative product parameters; product sale velocity; products recommended structure; statistical information; Concrete; Control system synthesis; Data mining; Decision trees; Economic forecasting; Information technology; Intelligent structures; Marketing and sales; Optimization methods; Predictive models;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, International Workshop on, 2001.

Conference_Location

Crimea

Print_ISBN

0-7803-7164-X

Type

conf

DOI

10.1109/IDAACS.2001.942021

Filename

942021