A data mining approach for desire and intention to participate in virtual communities
| Autor: | Özerk Yavuz, Adem Karahoca, Dilek Karahoca |
|---|---|
| Přispěvatelé: | Yavuz, Özerk |
| Rok vydání: | 2019 |
| Předmět: |
General Computer Science
Artificial neural network Mean squared error Computer science Desire and intention to participate in virtual communities Bayesian network computer.software_genre Desire And Intention To Participate In Virtual Communities Machine Learning ComputingMethodologies_PATTERNRECOGNITION Multilayer perceptron Machine learning Virtual Communities Data Mining Data mining Electrical and Electronic Engineering computer Virtual communities |
| Popis: | 2-s2.0-85067351961 The purpose of this study is to investigate performances of some of the data mining approaches while understanding desire and intention to participate in virtual communities and its antecedents. A research model has been developed following the literature review and the model was tested afterwards. In research part of the study, some of the data mining approaches as JRip, Part, OneR Method, Multilayer Perceptron (Neural Networks), Bayesian Networks have been used. Based on the analysis conducted it has been found out that Multilayer Neural Network had the best correct classification rate and lowest RMSE. Copyright © 2019 Institute of Advanced Engineering and Science. All rights reserved. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|