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 |
COMP |
2013-03-18 13:20 |
Gifu |
Gifu University |
Auxiliary Skip Links for Quick Traversal of ZDDs to Manipulate Large-Scale Sparse Matrices Shin-ichi Minato (Hokkaido Univ.) COMP2012-55 |
ZDD (Zero-suppressed Binary Decision Diagram) is known as an efficient data structure for representing and manipulating ... [more] |
COMP2012-55 pp.15-22 |
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 |