Repositorio
Institucional

Espinosa, R.

Aguilar, J. A.

A Goal-oriented Requirement Analysis Approach for the Selection of Data Mining Techniques for Non-Expert Users

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC

IEEE LATIN AMERICA TRANSACTIONS

es

The application of data mining techniques tier obtaining knowledge has historically required the intervention of experts to obtain satisfactory results. This paper presents a solution proposal for the complex topic of identifying the requirements of non-expert users when trying to perform data mining techniques. The modeling language for objective-oriented requirements analysis i * (i star) has been used to facilitate the use of a taxonomy of requirements. As a result, it is intended that nonexpert users can represent their requirements without having relevant knowledge of data mining techniques. The application in a case study allows as proof of concept, validate the proposed model.

Artículo original

10.1109/TLA.2018.8362154

pdf

Non-expert user's data mining requirements# Goal-oriented Requirements Engineering# i-star

http://dx.doi.org/10.1109/TLA.2018.8362154

Computer Science, Information Systems# Engineering, Electrical & Electronic

Requisitos de extracción de datos de usuarios no expertos# Ingeniería de Requisitos Orientada a Objetivos# yo-estrella

Ciencias de la Computación

Ciencias de la Información y Bioinformática

Otras Especialidades de las Ciencias de la Información y Computación

version publicada

suscripción

metadata

metadata

WOS:000433485100025

A Goal-oriented Requirement Analysis Approach for the Selection of Data Mining Techniques for Non-Expert Users

Artículo original

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC

IEEE LATIN AMERICA TRANSACTIONS

Ciencias de la Computación, Sistemas de Información# Ingeniería, Eléctrica y Electrónica

1548-0992

es

pdf

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