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Authors: Aditya Desai ; Himanshu Singh and Vikram Pudi

Affiliation: International Institute of Information Technology, India

Keyword(s): Regression, Prediction, k-nearest neighbours, Generic, Accurate.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Computational Intelligence ; Evolutionary Computing ; Foundations of Knowledge Discovery in Databases ; Knowledge Discovery and Information Retrieval ; Knowledge-Based Systems ; Machine Learning ; Soft Computing ; Symbolic Systems

Abstract: Regression algorithms are used for prediction (including forecasting of time-series data), inference, hypothesis testing, and modeling of causal relationships. Statistical approaches although popular, are not generic in that they require the user to make an intelligent guess about the form of the regression equation. In this paper we present a new regression algorithm SEAR – Scalable, Efficient, Accurate kNN-based Regression. In addition to this, SEAR is simple and outlier-resilient. These desirable features make SEAR a very attractive alternative to existing approaches. Our experimental study compares SEAR with fourteen other algorithms on five standard real datasets, and shows that SEAR is more accurate than all its competitors.

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Paper citation in several formats:
Desai, A.; Singh, H. and Pudi, V. (2010). SEAR - Scalable, Efficient, Accurate, Robust kNN-based Regression. In Proceedings of the International Conference on Knowledge Discovery and Information Retrieval - KDIR, (IC3K 2010) ISBN 978-989-8425-28-7; ISSN 2184-3228, pages 392-395. DOI: 10.5220/0003068703920395

@conference{kdir10,
author={Aditya Desai. and Himanshu Singh. and Vikram Pudi.},
title={SEAR - Scalable, Efficient, Accurate, Robust kNN-based Regression},
booktitle={Proceedings of the International Conference on Knowledge Discovery and Information Retrieval - KDIR, (IC3K 2010)},
year={2010},
pages={392-395},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003068703920395},
isbn={978-989-8425-28-7},
issn={2184-3228},
}

TY - CONF

JO - Proceedings of the International Conference on Knowledge Discovery and Information Retrieval - KDIR, (IC3K 2010)
TI - SEAR - Scalable, Efficient, Accurate, Robust kNN-based Regression
SN - 978-989-8425-28-7
IS - 2184-3228
AU - Desai, A.
AU - Singh, H.
AU - Pudi, V.
PY - 2010
SP - 392
EP - 395
DO - 10.5220/0003068703920395

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