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Author: Urszula Kużelewska

Affiliation: Technical University of Bialystok, Poland

Keyword(s): Knowledge discovery, Data mining, Information granulation, Granular computing, Clustering, Hyperboxes.

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

Abstract: Clustering is a part of data mining domain. Its task is to detect groups of similar objects on the basis of established similarity criterion. Granular computing (GrC) includes methods from various areas with the aim to support human with better understanding analyzed problem and generated results. Granular computing techniques create and/or process data portions named as granules identified with regard to similar description, functionality or behavior. Interesting characteristic of granular computation is offer of multi-perspective view of data depending on required resolution level. Data granules identified on different levels of resolution form a hierarchical structure expressing relations between objects of data. A method proposed in this article performs creation data granules by clustering data in form of hyperboxes. The results are compared with clustering of point-type data with regard to complexity, quality and interpretability.

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Paper citation in several formats:
Kużelewska, U. (2011). CLUSTERING WITH GRANULAR INFORMATION PROCESSING. In Proceedings of the 3rd International Conference on Agents and Artificial Intelligence - Volume 2: ICAART; ISBN 978-989-8425-40-9; ISSN 2184-433X, SciTePress, pages 89-97. DOI: 10.5220/0003142700890097

@conference{icaart11,
author={Urszula Kużelewska.},
title={CLUSTERING WITH GRANULAR INFORMATION PROCESSING},
booktitle={Proceedings of the 3rd International Conference on Agents and Artificial Intelligence - Volume 2: ICAART},
year={2011},
pages={89-97},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003142700890097},
isbn={978-989-8425-40-9},
issn={2184-433X},
}

TY - CONF

JO - Proceedings of the 3rd International Conference on Agents and Artificial Intelligence - Volume 2: ICAART
TI - CLUSTERING WITH GRANULAR INFORMATION PROCESSING
SN - 978-989-8425-40-9
IS - 2184-433X
AU - Kużelewska, U.
PY - 2011
SP - 89
EP - 97
DO - 10.5220/0003142700890097
PB - SciTePress