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Committee Date Time Place Paper Title / Authors Abstract Paper #
IA 2023-11-22
Aomori Aomori Prefecture Tourist Center ASPM (Aomori)
(Primary: On-site, Secondary: Online)
Improving the accuracy of flow prediction and anomaly detection in GAMPAL, a general-purpose anomaly detection mechanism for Internet traffic
Taku Wakui (Keio Univ./Hitachi), Fumio Teraoka (Keio Univ.), Takao Kondo (Hokkaido Univ./Keio Univ.) IA2023-41
The authors propose a general-purpose anomaly detection mechanism using Prefix Aggregate without Labeled data (GAMPAL) f... [more] IA2023-41
KBSE, SC 2023-11-18
Miyagi Sento Kaikan Improving the accuracy of machine learning based HDD failure prediction in on-premises storage
Taku Wakui, Mineyoshi Masuda, Tomoya Oota (Hitachi) KBSE2023-48 SC2023-31
The HDD (Hard Disk Drive) failure predictive detection technology is one of the functions for managing on-premises stora... [more] KBSE2023-48 SC2023-31
KBSE, SC 2022-11-05
(Primary: On-site, Secondary: Online)
Smoothing methods for reducing false positives in performance anomaly detection using machine learning
Taku Wakui, Mineyoshi Masuda (Hitachi) KBSE2022-41 SC2022-36
In the integrated infrastructure management market, ML-based anomaly detection is one of the key features. However, comp... [more] KBSE2022-41 SC2022-36
Okinawa Royal Hotel Okinawa Zanpa-Misaki
(Cancelled but technical report was issued)
A Service Traffic Prediction Method from ISP's Perspective
Ryo Yasumori, Takao Kondo, Taku Wakui, Fumio Teraoka (Keio Univ.) IN2019-134
 [more] IN2019-134
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