loading
Papers

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Saleh Alyahyan ; Majed Farrash and Wenjia Wang

Affiliation: University of East Anglia, United Kingdom

ISBN: 978-989-758-203-5

Keyword(s): Heterogeneous Ensemble, Diversity, Big Data, Scene Classification.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Business Analytics ; Clustering and Classification Methods ; Computational Intelligence ; Data Analytics ; Data Engineering ; Evolutionary Computing ; Foundations of Knowledge Discovery in Databases ; Information Extraction ; Knowledge Discovery and Information Retrieval ; Knowledge-Based Systems ; Machine Learning ; Mining Multimedia Data ; Mining Text and Semi-Structured Data ; Soft Computing ; Symbolic Systems

Abstract: In data mining, identifying the best individual technique to achieve very reliable and accurate classification has always been considered as an important but non-trivial task. This paper presents a novel approach - heterogeneous ensemble technique, to avoid the task and also to increase the accuracy of classification. It combines the models that are generated by using methodologically different learning algorithms and selected with different rules of utilizing both accuracy of individual modules and also diversity among the models. The key strategy is to select the most accurate model among all the generated models as the core model, and then select a number of models that are more diverse from the most accurate model to build the heterogeneous ensemble. The framework of the proposed approach has been implemented and tested on a real-world data to classify imaginary scenes. The results show our approach outperforms other the state of the art methods, including Bayesian network, SVM an d AdaBoost. (More)

PDF ImageFull Text

Download
CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 18.205.176.85

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Alyahyan, S.; Farrash, M. and Wang, W. (2016). Heterogeneous Ensemble for Imaginary Scene Classification.In Proceedings of the 8th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 1: KDIR, (IC3K 2016) ISBN 978-989-758-203-5, pages 197-204. DOI: 10.5220/0006037101970204

@conference{kdir16,
author={Saleh Alyahyan. and Majed Farrash. and Wenjia Wang.},
title={Heterogeneous Ensemble for Imaginary Scene Classification},
booktitle={Proceedings of the 8th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 1: KDIR, (IC3K 2016)},
year={2016},
pages={197-204},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006037101970204},
isbn={978-989-758-203-5},
}

TY - CONF

JO - Proceedings of the 8th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 1: KDIR, (IC3K 2016)
TI - Heterogeneous Ensemble for Imaginary Scene Classification
SN - 978-989-758-203-5
AU - Alyahyan, S.
AU - Farrash, M.
AU - Wang, W.
PY - 2016
SP - 197
EP - 204
DO - 10.5220/0006037101970204

Login or register to post comments.

Comments on this Paper: Be the first to review this paper.