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Authors: Victoria J. Hodge ; Tom Jackson and Jim Austin

Affiliation: University of York, United Kingdom

Keyword(s): Attribute Selection, Feature Selection, Binary Neural Network, Prediction, k-Nearest Neighbour.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Artificial Intelligence and Decision Support Systems ; Biomedical Engineering ; Biomedical Signal Processing ; Computational Intelligence ; Data Manipulation ; Enterprise Information Systems ; Health Engineering and Technology Applications ; Human-Computer Interaction ; Methodologies and Methods ; Neural Based Data Mining and Complex Information Processing ; Neural Network Software and Applications ; Neural Networks ; Neurocomputing ; Neurotechnology, Electronics and Informatics ; Pattern Recognition ; Physiological Computing Systems ; Sensor Networks ; Signal Processing ; Soft Computing ; Theory and Methods

Abstract: In this paper, we introduce an implementation of the attribute selection algorithm, Correlation-based Feature Selection (CFS) integrated with our k-nearest neighbour (k-NN) framework. Binary neural networks underpin our k-NN and allow us to create a unified framework for attribute selection, prediction and classification. We apply the framework to a real world application of predicting bus journey times from traffic sensor data and show how attribute selection can both speed our k-NN and increase the prediction accuracy by removing noise and redundant attributes from the data.

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Paper citation in several formats:
J. Hodge, V.; Jackson, T. and Austin, J. (2012). A Binary Neural Network Framework for Attribute Selection and Prediction. In Proceedings of the 4th International Joint Conference on Computational Intelligence - NCTA, (IJCCI 2012) ISBN 978-989-8565-33-4; ISSN 2184-2825, pages 510-515. DOI: 10.5220/0004150705100515

@conference{ncta12,
author={Victoria {J. Hodge}. and Tom Jackson. and Jim Austin.},
title={A Binary Neural Network Framework for Attribute Selection and Prediction},
booktitle={Proceedings of the 4th International Joint Conference on Computational Intelligence - NCTA, (IJCCI 2012)},
year={2012},
pages={510-515},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004150705100515},
isbn={978-989-8565-33-4},
issn={2184-2825},
}

TY - CONF

JO - Proceedings of the 4th International Joint Conference on Computational Intelligence - NCTA, (IJCCI 2012)
TI - A Binary Neural Network Framework for Attribute Selection and Prediction
SN - 978-989-8565-33-4
IS - 2184-2825
AU - J. Hodge, V.
AU - Jackson, T.
AU - Austin, J.
PY - 2012
SP - 510
EP - 515
DO - 10.5220/0004150705100515

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