Paper Abstract and Keywords |
Presentation |
2016-12-15 13:35
[Invited Talk]
Real-time Modeling and Forecasting of Big Time-series Data Yasuko Matsubara (Kumamoto Univ.) IN2016-70 IA2016-64 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
Time-series data analysis is becoming of increasingly high importance, thanks to the decreasing cost of hardware and the increasing on-line processing capability. Given a large collection of time series, such as web-click logs, electric medical records and motion capture sensors, how can we efficiently and effectively find typical patterns? How can we statistically summarize all the sequences, and achieve a meaningful segmentation? What are the major tools for forecasting and outlier detection? The objective of this talk is to provide a concise and intuitive overview of the most important tools that can help us find patterns in large-scale time-series sequences. The emphasis of the talk is to provide the intuition behind these powerful tools, which is usually lost in the technical literature, as well as to introduce case studies that illustrate their practical use. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Time-series data / Forecasting / Automatic mining / / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 116, no. 362, IA2016-64, pp. 5-10, Dec. 2016. |
Paper # |
IA2016-64 |
Date of Issue |
2016-12-08 (IN, IA) |
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) |
Download PDF |
IN2016-70 IA2016-64 |
Conference Information |
Committee |
IA IN |
Conference Date |
2016-12-15 - 2016-12-16 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Hiroshima city university |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
Performance Analysis and Simulation, Robustness, Traffic and Throughput Measurement, Quality of Service (QoS) Control, Congestion Control, Overlay Network/P2P, IPv6, Multicast, Routing, DDoS, etc. |
Paper Information |
Registration To |
IA |
Conference Code |
2016-12-IA-IN |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Real-time Modeling and Forecasting of Big Time-series Data |
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Time-series data |
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Forecasting |
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Automatic mining |
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1st Author's Name |
Yasuko Matsubara |
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Kumamoto University (Kumamoto Univ.) |
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Speaker |
Author-1 |
Date Time |
2016-12-15 13:35:00 |
Presentation Time |
45 minutes |
Registration for |
IA |
Paper # |
IN2016-70, IA2016-64 |
Volume (vol) |
vol.116 |
Number (no) |
no.361(IN), no.362(IA) |
Page |
pp.23-28(IN), pp.5-10(IA) |
#Pages |
6 |
Date of Issue |
2016-12-08 (IN, IA) |
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