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Committee Date Time Place Paper Title / Authors Abstract Paper #
RCS, RCC, ASN, NS, SR
(Joint)		 2016-07-21
10:50		 Aichi   [Poster Presentation] Cardinality Estimation of Positive Items for Boolean Compressed Sensing Based Adaptive Group Testing
Yujia Lu, Kazunori Hayashi (Kyoto Univ.) RCC2016-22 NS2016-56 RCS2016-109 SR2016-39 ASN2016-30		 Adaptive group testing using boolean compressed sensing requires information on the number of positive items for effecti... [more] RCC2016-22 NS2016-56 RCS2016-109 SR2016-39 ASN2016-30
pp.51-56(RCC), pp.33-38(NS), pp.81-86(RCS), pp.51-56(SR), pp.33-38(ASN)
IA 2015-11-12
16:00		 Chiba NARITA VIEW HOTEL Enhancing performance of cardinality analysis for faster network
Shinichi Mori, Akira Sato, Kenichi Yoshida (Univ. of Tsukuba) IA2015-52		 Cardinality in network flow data gives useful information for network administrators about suspicious communication on t... [more] IA2015-52
pp.81-85
IA 2014-11-05
16:10		 Overseas Thailand [Invited Talk] Vicar in Network
Shinichi Mori, Yuki Kato, Akira Sato, Kenichi Yoshida (Univ. of Tsukuba) IA2014-38		 Cardinality is known to be informative to find various network threats. Recently, we have developed methods to analyze I... [more] IA2014-38
pp.21-26
IA 2013-10-11
13:30		 Overseas Konkuk Univ., Seoul [Invited Talk] Cardinality in Big Data -- Examples in L3&L7 Network --
Takeshi Mitamura (Japan Registry Services), Kenichi Yoshida (Univ. of Tsukuba) IA2013-35		 ``Big Data'' and ``Data Mining'' are vogue buzz words. Although their definitions vary among researchers, we recognize t... [more] IA2013-35
p.51
DC, CPSY
(Joint)		 2011-07-28
16:15		 Kagoshima   A Parallel Extended SAT Solver for Cardinality Constraints
XiaoJuan Xu, Yuji Yamane, Kazunori Ueda (Waseda Univ.) DC2011-17		 Cardinality constraints generated from real-world problems are often a bottleneck of SAT solving. This paper proposes an... [more] DC2011-17
pp.13-18
IA 2009-10-31
09:30		 Overseas Tsinghua University (Beijing) A case study of Analyzed Method for the Number of Varieties in Frequently Found Flows in real network environment
Yusuke Shomura, Akira Sato, Kenichi Yoshida, Satoshi Matsumoto, Kozo Itano (Univ. of Tsukuba) IA2009-53		 Recently, users are using network in various ways. This makes the
network monitoring and network management difficult t... [more]		 IA2009-53
pp.39-44
IN, NS, CS
(Joint)		 2006-09-14
10:30		 Miyagi   Flow-Based Metering Method for Wide Area Network
Yusuke Shomura (Hitachi Ltd.), Yoshinori Watanabe (ALAXALA Networks Corp.), Kenichi Yoshida (Univ. of Tsukuba) NS2006-73		 Anomalous flows such as DDoS attack and worm become the cause of a trouble on wide area network. Thus the importance of ... [more] NS2006-73
pp.15-19
IN, NS, CS
(Joint)		 2006-09-15
15:00		 Miyagi   [Encouragement Talk] NetDelta: Method for detailed, long-term analysis of massive amount of traffic data
Tatsuya Mori, Keisuke Ishibashi, Noriaki Kamiyama, Ryoichi Kawahara (NTT), Shoichiro Asano (NII) NS2006-94		 This paper presents a novel network measurement method ---
NetDelta --- to establish DEtailed, Long-Term Analysis of a... [more]		 NS2006-94
pp.133-138
NS 2006-04-21
10:50		 Kochi   Estimating Top-N Hosts in Cardinality and Its Application to Anomaly Detection
Keisuke Ishibashi, Tatsuya Mori, Ryoichi Kawahara, Yutaka Hirokawa, Atsushi Kobayashi, Kimihiro Yamamoto, Hitoaki Sakamoto (NTT) NS2006-14		 We propose a method to find N hosts that have the N highest cardinalities, where cardinality is the number of distinct i... [more] NS2006-14
pp.53-56
IN, NS
(Joint)		 2006-03-02
08:50		 Okinawa Rizzan Sea-Park Hotel Tancha-Bay (Okinawa) NetHost: Aggregation of Traffic Summary Per-Host
Tatsuya Mori, Keisuke Ishibashi, Noriaki Kamiyama, Ryoichi Kawahara (NTT) 		Knowing the statistics of hosts in a managed network is crucial for network operators. Among such statistics, the increm... [more] NS2005-159
pp.5-8
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