Paper Abstract and Keywords |
Presentation |
2018-10-19 09:55
Price Prediction of Used Cars at Auto Auction by Deep Learning Hiromichi Sakurai, Daiki Kudo (Ibaraki Univ.), Eriko Hasegawa, Rikozou Shimoyama, Ryosuke Fukunishi, Hiroki Mayuzumi (PROTO), Tomoya Suzuki (Ibaraki Univ.) CAS2018-50 NLP2018-85 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
Dealers of used cars have to predict future auction prices when buying used cars.
However, it is very difficult to predict them because each condition of used cars is completely different such as mileage, model year, body color, etc.
Moreover, these conditions are nonlinearly affected by each other and their number is not small.
Therefore, the deep learning approach might be useful to reduce the curse of dimensionality
and to learn the nonlinear relationship among conditions.
For this purpose, we used the stacked auto-encoder as a pre-training step for reducing the dimension of explanatory variables,
and then predicted the auction price after one month to compose a used-car assessment system.
To verify the usefulness of our prediction method,
we performed some prediction tests using the real auto-auction price data,
and confirmed better prediction performance especially in newer-model cars. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Deep learning / Business intelligence / Data science / / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 118, no. 243, NLP2018-85, pp. 69-74, Oct. 2018. |
Paper # |
NLP2018-85 |
Date of Issue |
2018-10-11 (CAS, NLP) |
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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CAS2018-50 NLP2018-85 |
Conference Information |
Committee |
CAS NLP |
Conference Date |
2018-10-18 - 2018-10-19 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Tohoku Univ. |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
Mathematical modeling, numerical simulation etc. |
Paper Information |
Registration To |
NLP |
Conference Code |
2018-10-CAS-NLP |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Price Prediction of Used Cars at Auto Auction by Deep Learning |
Sub Title (in English) |
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Deep learning |
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Business intelligence |
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Data science |
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1st Author's Name |
Hiromichi Sakurai |
1st Author's Affiliation |
Ibaraki University (Ibaraki Univ.) |
2nd Author's Name |
Daiki Kudo |
2nd Author's Affiliation |
Ibaraki University (Ibaraki Univ.) |
3rd Author's Name |
Eriko Hasegawa |
3rd Author's Affiliation |
PROTO CORPORATION (PROTO) |
4th Author's Name |
Rikozou Shimoyama |
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PROTO CORPORATION (PROTO) |
5th Author's Name |
Ryosuke Fukunishi |
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PROTO CORPORATION (PROTO) |
6th Author's Name |
Hiroki Mayuzumi |
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PROTO CORPORATION (PROTO) |
7th Author's Name |
Tomoya Suzuki |
7th Author's Affiliation |
Ibaraki University (Ibaraki Univ.) |
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Speaker |
Author-1 |
Date Time |
2018-10-19 09:55:00 |
Presentation Time |
25 minutes |
Registration for |
NLP |
Paper # |
CAS2018-50, NLP2018-85 |
Volume (vol) |
vol.118 |
Number (no) |
no.242(CAS), no.243(NLP) |
Page |
pp.69-74 |
#Pages |
6 |
Date of Issue |
2018-10-11 (CAS, NLP) |
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