Paper Abstract and Keywords |
Presentation |
2015-08-05 13:00
Empirical Study on Instance Selection from Healthcare Data Using Fuzzy Rough Sets Do Van Nguyen (KDDI R&D Labs), Keisuke Ogawa (KDDI), Kazunori Matsumoto, Masayuki Hashimoto (KDDI R&D Labs) DE2015-14 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
This research shows a study on issues that cause low performance in disease prediction such as overlap and imbalance and suggests solutions based on fuzzy rough sets to overcome these problems. We apply several methods based on rough set theory to deal with overlap by selecting valuable instances. The considerable results in combination of rough instance selection and balancing technique are then noticed. In this study, we also apply new proposed approach that uses only fuzzy-rough instance selection to dealing with the both issues. This means that without balancing techniques, performance still improves. Some experiments are conducted to show the methods. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
rough set theory / fuzzy-rough sets / healthcare data / classification performance / instance selection / / / |
Reference Info. |
IEICE Tech. Rep., vol. 115, no. 177, DE2015-14, pp. 19-24, Aug. 2015. |
Paper # |
DE2015-14 |
Date of Issue |
2015-07-29 (DE) |
ISSN |
Print edition: ISSN 0913-5685 Online edition: ISSN 2432-6380 |
Copyright and reproduction |
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) |
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DE2015-14 |
Conference Information |
Committee |
DE IPSJ-DBS IPSJ-IFAT |
Conference Date |
2015-08-05 - 2015-08-06 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Todaiji Culture Center |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
Management, Information Retrieval, Knowledge Discovery, etc. |
Paper Information |
Registration To |
DE |
Conference Code |
2015-08-DE-DBS-IFAT |
Language |
English |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Empirical Study on Instance Selection from Healthcare Data Using Fuzzy Rough Sets |
Sub Title (in English) |
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Keyword(1) |
rough set theory |
Keyword(2) |
fuzzy-rough sets |
Keyword(3) |
healthcare data |
Keyword(4) |
classification performance |
Keyword(5) |
instance selection |
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1st Author's Name |
Do Van Nguyen |
1st Author's Affiliation |
KDDI R&D Laboratories Inc. (KDDI R&D Labs) |
2nd Author's Name |
Keisuke Ogawa |
2nd Author's Affiliation |
KDDI Corporation (KDDI) |
3rd Author's Name |
Kazunori Matsumoto |
3rd Author's Affiliation |
KDDI R&D Laboratories Inc. (KDDI R&D Labs) |
4th Author's Name |
Masayuki Hashimoto |
4th Author's Affiliation |
KDDI R&D Laboratories Inc. (KDDI R&D Labs) |
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Speaker |
Author-1 |
Date Time |
2015-08-05 13:00:00 |
Presentation Time |
30 minutes |
Registration for |
DE |
Paper # |
DE2015-14 |
Volume (vol) |
vol.115 |
Number (no) |
no.177 |
Page |
pp.19-24 |
#Pages |
6 |
Date of Issue |
2015-07-29 (DE) |
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