A Novel Distance Measure for Interval Data

Jie Ouyang; Ishwar K. Sethi

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Paper

A Novel Distance Measure for Interval Data

Topics: Datamining

In Proceedings of the 7th International Workshop on Pattern Recognition in Information Systems - Volume 0ICEIS, 49-58, 2007 , Funchal, Madeira, Portugal

Authors: Jie Ouyang and Ishwar K. Sethi

Affiliation: Oakland University, United States

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Biomedical Engineering ; Business Analytics ; Data Engineering ; Data Mining ; Databases and Information Systems Integration ; Datamining ; Enterprise Information Systems ; Health Information Systems ; Sensor Networks ; Signal Processing ; Soft Computing

Abstract: Interval data is attracting attention from the data analysis community due to its ability to describe complex concepts. Since clustering is an important data analysis tool, extending these techniques to interval data is important. Applying traditional clustering methods on interval data loses information inherited in this particular data type. This paper proposes a novel dissimilarity measure which explores the internal structure of intervals in a probabilistic manner based on domain knowledge. Our experiments show that interval clustering based on the proposed dissimilarity measure produces meaningful results.

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Paper citation in several formats:

Ouyang, J. and K. Sethi, I. (2007). A Novel Distance Measure for Interval Data. In Proceedings of the 7th International Workshop on Pattern Recognition in Information Systems (ICEIS 2007) - PRIS; ISBN 978-972-8865-93-1, SciTePress, pages 49-58. DOI: 10.5220/0002425000490058

@conference{pris07,
author={Jie Ouyang. and Ishwar {K. Sethi}.},
title={A Novel Distance Measure for Interval Data},
booktitle={Proceedings of the 7th International Workshop on Pattern Recognition in Information Systems (ICEIS 2007) - PRIS},
year={2007},
pages={49-58},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002425000490058},
isbn={978-972-8865-93-1},
}

TY - CONF

JO - Proceedings of the 7th International Workshop on Pattern Recognition in Information Systems (ICEIS 2007) - PRIS
TI - A Novel Distance Measure for Interval Data
SN - 978-972-8865-93-1
AU - Ouyang, J.
AU - K. Sethi, I.
PY - 2007
SP - 49
EP - 58
DO - 10.5220/0002425000490058
PB - SciTePress