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| Presentation | 2019-06-21 13:45 Rethinking the Test Dataset Construction of Machine Learning for Mobile Application Identification Takamitsu Iwai, Akihiro Nakao (UTokyo)  NS2019-40 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | Machine Learning based application identification has been intensively studied for applications such as application specific network slicing and zero-rating services. In machine learning, a test dataset, which is usually divided chronologically in the collected dataset, is used to evaluate a trained model. We advocate that it is often the case with mobile network analysis that this way of training and validation is irrelevant because overestimation of a trained model may occur when the data from one user is included both in training and in test dataset. In this paper, we propose to use IMEI to identify users and isolate test set from the dataset. We observe that conventional method overestimates by about 4% of accuracy on average and by 10% in the worst case compared to our evaluation using IMEI-based split method. In addition, our evaluation also shows the necessity of the IMEI instead of source IP for data isolation, as a single UE may be assign to multiple source IPs over time and thus source IP may not be a substitute for IMEI. |
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| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Machine Learning / Application Identification / / / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 119, no. 92, NS2019-40, pp. 29-34, June 2019. | |
| Paper # | NS2019-40 | |
| Date of Issue | 2019-06-13 (NS) | |
| ISSN | 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) | |
| Download PDF | NS2019-40 |
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| Conference Information | |
| Committee | OCS PN NS |
| Conference Date | 2019-06-20 - 2019-06-21 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | MALIOS（Morioka） |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Photonic network system, Optical network operation and administration, Optical network design, Traffic engineering, Signaling, GMPLS, Inter-domain route control, Network monitoring, Optical amplifier and Optical repeater, Optical crossconect (OXC) and Optical add/drop multiplexer (OADM), Optical multiplexing/demultiplexing equipment, Optical signal processing, Optical terminal equipment, Digital signal processing and error correction, Optical communication measurement, Core/metro system, Seafloor transmission system, Optical access system and NG-PON, Ethernet, Optical transport network (OTN), Transmission monitoring and control, Optical transmission system design and tool, Mobile and Mobile-optical cooperation, etc. |
| Paper Information | |
| Registration To | NS |
| Conference Code | 2019-06-OCS-PN-NS |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Rethinking the Test Dataset Construction of Machine Learning for Mobile Application Identification |
| Sub Title (in English) | |
| Keyword(1) | Machine Learning |
| Keyword(2) | Application Identification |
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| 1st Author's Name | Takamitsu Iwai |
| 1st Author's Affiliation | University of Tokyo (UTokyo) |
| 2nd Author's Name | Akihiro Nakao |
| 2nd Author's Affiliation | University of Tokyo (UTokyo) |
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| Speaker | Author-1 |
| Date Time | 2019-06-21 13:45:00 |
| Presentation Time | 25 minutes |
| Registration for | NS |
| Paper # | NS2019-40 |
| Volume (vol) | vol.119 |
| Number (no) | no.92 |
| Page | pp.29-34 |
| #Pages | 6 |
| Date of Issue | 2019-06-13 (NS) |
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