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Committee Date Time Place Paper Title / Authors Abstract Paper #
RCC, ISEC, IT, WBS 2023-03-14
16:50
Yamaguchi
(Primary: On-site, Secondary: Online)
Proposal for a privacy-preserving frequency estimation method
Naoki Kawahara, Atsuko Miyaji (Osaka Univ.), Tomoaki Mimoto (ATR) IT2022-97 ISEC2022-76 WBS2022-94 RCC2022-94
Differential privacy is one of the methods used to protect personal data by adding noise to personal data and its analys... [more] IT2022-97 ISEC2022-76 WBS2022-94 RCC2022-94
pp.187-194
IA 2016-11-04
10:55
Overseas Taipei (Taiwan) Real-time Abnormal Traffic Detection Circuit Based on Simple Frequent-Itemset-Mining Method
Shuji Sannomiya, Akira Sato, Kenichi Yoshida (Univ. of Tsukuba) IA2016-47
To resist the growth of abnormal traffic such as P2P flows, DDoS attacks and Internet worms, a circuit design to realize... [more] IA2016-47
pp.93-98
RECONF 2016-05-19
14:55
Kanagawa FUJITSU LAB. *
Kasha Yamamoto, Tetsuya Asai, Masato Motomura (Hokkaido Univ.) RECONF2016-10
In recent years, the amount of data to be processed in the data center has increased exprosively. Therefore the data min... [more] RECONF2016-10
pp.47-52
PRMU, DE 2011-06-06
15:10
Kanagawa   Fast Frequent Itemset Mining from Uncertain Databases using GPGPU
Yusuke Kozawa, Toshiyuki Amagasa, Hiroyuki Kitagawa (Univ. of Tsukuba) DE2011-9 PRMU2011-40
Frequent itemset mining from uncertain databases is different from conventional one
in the sense that it needs to take ... [more]
DE2011-9 PRMU2011-40
pp.49-54
IBISML, PRMU, IPSJ-CVIM [detail] 2010-09-05
13:40
Fukuoka Fukuoka Univ. [Special Talk] Pattern Mining meets a New Landing Point -- Pattern mining via clustering --
Takeaki Uno (NII) PRMU2010-66 IBISML2010-38
Pattern mining has a disadvantage that huge amount of similar patterns are detected. There are many researches address t... [more] PRMU2010-66 IBISML2010-38
pp.81-82
DE 2008-09-22
12:45
Fukushima   [Invited Talk] Data Stream Processing Research at IMC of East China Normal University
Aoying Zhou, Cheqing Jin, Weining Qian (East China Normal Univ.) DE2008-49
Data stream processing has been attracting more and more attention in research and industry communities due to its broad... [more] DE2008-49
pp.39-40
DE 2007-07-03
15:25
Miyagi Akiu hot springs (Sendai) Outlier Detection for Transaction Databases using Association Rules with High Confidences
Kazuyo Narita, Hiroyuki Kitagawa (Tsukuba Univ.) DE2007-88
Outlier Detection, a data mining technique to detect rare events, deviant objects, and exceptions from data, has been dr... [more] DE2007-88
pp.399-404
AI 2007-05-31
14:00
Tokyo Kikai-Shinko-Kaikan Bldg. [Invited Talk] Recent Topics on Data Mining and Knoledge Discovery Using Binary Decision Diagrams
Shin-ichi Minato (Hokkaido Univ.) AI2007-6
Binary Decision Diagrams (BDDs) are the efficient data structure for representing Boolean functions on the main memory. ... [more] AI2007-6
pp.27-32
COMP 2007-03-05
14:20
Tokyo The University of Electro-Communications A Theoretical Study on Variable Ordering of Zero-suppressed BDDs for Frequent Item Set Mining
Shin-ichi Minato (Hokkaido Univ.)
Recently, an efficient method has been proposed to use Zero-suppressed Binary Decision Diagrams \linebreak (ZBDDs) for e... [more] COMP2006-55
pp.37-42
COMP 2004-12-10
13:15
Chiba Toho University [Tutorial Lecture]
Takeaki Uno (NII)
A transaction database is a set of transactions where a transaction is a set of items. For a constant theta, frequent it... [more] COMP2004-55
pp.17-19
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