USING CO-OCCURRENCE TO CLASSIFY UNSTRUCTURED DATA IN TELECOMMUNICATION SERVICES
Motoi Iwashita, Ken Nishimatsu, Shinsuke Shimogawa
2008
Abstract
A variety of services have recently been provided according to the highly-developed networks and personal equipment. Connecting this equipment becomes more complicated with advancement of these day by day. Because software is often updated to keep up with advancements in services or security, problems such as no-connection increase and determining the cause become difficult in some cases. Telecom operators must understand the situation and act as quickly as possible when they receive customer enquiries. In this paper, we propose one method for analyzing and classifying customer enquiries that enables quick and efficient responses. Because customer enquiries are generally stored as unstructured textual data, this method is based upon a co-occurrence technique to enable classification of a large amount of unstructured data into patterns.
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Paper Citation
in Harvard Style
Iwashita M., Nishimatsu K. and Shimogawa S. (2008). USING CO-OCCURRENCE TO CLASSIFY UNSTRUCTURED DATA IN TELECOMMUNICATION SERVICES . In Proceedings of the International Conference on e-Business - Volume 1: ICE-B, (ICETE 2008) ISBN 978-989-8111-58-6, pages 12-17. DOI: 10.5220/0001905500120017
in Bibtex Style
@conference{ice-b08,
author={Motoi Iwashita and Ken Nishimatsu and Shinsuke Shimogawa},
title={USING CO-OCCURRENCE TO CLASSIFY UNSTRUCTURED DATA IN TELECOMMUNICATION SERVICES},
booktitle={Proceedings of the International Conference on e-Business - Volume 1: ICE-B, (ICETE 2008)},
year={2008},
pages={12-17},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001905500120017},
isbn={978-989-8111-58-6},
}
in EndNote Style
TY - CONF
JO - Proceedings of the International Conference on e-Business - Volume 1: ICE-B, (ICETE 2008)
TI - USING CO-OCCURRENCE TO CLASSIFY UNSTRUCTURED DATA IN TELECOMMUNICATION SERVICES
SN - 978-989-8111-58-6
AU - Iwashita M.
AU - Nishimatsu K.
AU - Shimogawa S.
PY - 2008
SP - 12
EP - 17
DO - 10.5220/0001905500120017