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Patent Searching and Data


Title:
PROCESSING DEVICE, PROCESSING METHOD, AND PROGRAM
Document Type and Number:
WIPO Patent Application WO/2024/042636
Kind Code:
A1
Abstract:
This processing device 1 comprises: a storage device that stores definition data 12 specifying a false positive function for detecting, as change point candidates in time-series data, all times serving as change points, and detecting times other than the change points, and a false negative function for detecting, as change point candidates in time-series data, times of a portion of the change points among the change points, and not detecting times other than the change points; and an output unit 23 that outputs, as change points, times detected by the false negative function as the change point candidates from time-series data 11 to be processed, among times detected by the false positive function as the change point candidates from the time-series data 11 to be processed.

Inventors:
YAMAMOTO TAIZO (JP)
TSUNODA AI (JP)
MORIYA TAKAAKI (JP)
NISHIO MANABU (JP)
MIYOSHI YU (JP)
Application Number:
PCT/JP2022/031874
Publication Date:
February 29, 2024
Filing Date:
August 24, 2022
Export Citation:
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Assignee:
NIPPON TELEGRAPH & TELEPHONE (JP)
International Classes:
H04L43/02; G06F17/10
Foreign References:
JP2004054370A2004-02-19
US20210294787A12021-09-23
Other References:
TAKUMA IWATA, HIROKI MATSUTANI: "Accelerating Multidimensional Change-Point Detection using FPGA NIC", IEICE TECHNICAL REPORT, IEICE, JP, vol. 118, no. 515 (DC2018-93), 10 March 2019 (2019-03-10), JP, pages 199 - 204, XP009552962
YAMANISHI KENJI; TAKEUCHI JUN-ICHI: "A unifying framework for detecting outliers and change points from non-stationary time series data", AVI'04 INTERNATIONAL CONFERENCE ON ADVANCED VISUAL INTERFACES; GALLIPOLI, ITALY; MAY 25 - 28, 2004, ASSOCIATION FOR COMPUTING MACHINERY, NEW YORK, NY, USA, 23 July 2002 (2002-07-23) - 28 May 2004 (2004-05-28), New York, NY, USA , pages 676 - 681, XP058609156, ISBN: 978-1-58113-867-2, DOI: 10.1145/775047.775148
YAMANISHI KENJI: "Special feature: Latest! Data mining methods. 5 Statistical anomaly detection 3 methods", IPSJ MAGAZINE, vol. 46, no. 1, 1 January 2005 (2005-01-01), pages 34 - 40, XP093139824
DE RYCK TIM; DE VOS MAARTEN; BERTRAND ALEXANDER: "Change Point Detection in Time Series Data Using Autoencoders With a Time-Invariant Representation", IEEE TRANSACTIONS ON SIGNAL PROCESSING, IEEE, USA, vol. 69, 7 June 2021 (2021-06-07), USA, pages 3513 - 3524, XP011863590, ISSN: 1053-587X, DOI: 10.1109/TSP.2021.3087031
Attorney, Agent or Firm:
MIYOSHI Hidekazu et al. (JP)
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