日本データベース学会

dbjapanメーリングリストアーカイブ(2004年)

CFP: RIDE-SDMA 2005 which will be held in conjunction with ICDE2005


皆様

南山大学の河野です.

2005年4月に東京で開催されます ICDE と同時に,
Stream Data Mining and Applicationsに関するRIDEワークショップを開催いたします.

RIDE-SDMAで募集致します論文は,データマイニングに関する幅広い論文となっており,
また,プロシーディングは,IEEE Computer Society Pressから出版する予定ですので,
下記参照の上,奮って御投稿のほどお願いいたします.

#今春,南山大学大学院設立に伴い,京都大学より異動致しました.
#今後とも宜しくお願いいたします.

   〒489-0863 愛知県瀬戸市せいれい町27
   南山大学数理情報学部情報通信学科
   河野浩之 (Kawano Hiroyuki)
       Mail: kawano [at] it.nanzan-u.ac.jp
       電話 (0561) 89-2000 (Ex. 6301)
       FAX: (0561) 89-2083

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CALL FOR PAPERS
15th International Workshop on Research Issues on Data Engineering:
April 3-4, 2005
National Center of Sciences, Tokyo, Japan

RIDE Workshop of Stream Data Mining and Applications RIDE-SDMA '2005
http://info.it.nanzan-u.ac.jp/RIDE-SDMA/

which will be held in conjunction with 
the IEEE CS International Conferences on Data Engineering
Sponsored by The Database Society of Japan (DBSJ)
Information Processing Society of Japan (IPSJ)
The Institute of Electronics, Information and Communication Engineers (IEICE)
(Pending final approval from IEEE, DBSJ, IPSJ and IEICE) 

RIDE-SDMA '2005 is the fifteenth workshop in a series of annual workshops on 
Research Issues in Data Engineering (RIDE), which will be held in conjunction with 
the IEEE CS International Conferences on Data Engineering.
The detail information will be announced. “http://icde2005.is.tsukuba.ac.jp/” 
and “http://icde2005.naist.jp/ (mirror)”

Scope
RIDE-SDMA '2005 deals with the use of engineering techniques and methodologies 
in stream data mining for sensor and logging systems, such as text/semi-structured 
data streams, video/multimedia streams and logging data continuously created by 
long-term transactions, web click-streams and network monitoring systems, which
 are useful and attractive for developing e-commerce applications, adaptive web 
sites and intrusion detection systems. 

Topics of Interests
RIDE-SDMA ‘2005 invites research submissions on all topics related to 
Stream Data Mining and Applications, including but not limited to those listed below:

- Data mining algorithms and novel techniques for stream data analysis, which are 
based on techniques of pattern discovery, time-series analysis for logging data, 
broadcasting data, communication data and sensor data including time, location, 
weather, temperature, humidity and social activity data;

- Advanced techniques of stream data mining and its applications, which include 
data compression, intelligent logging systems, sensor network systems, integrated 
sensor devices, secure storage and firewalls for cracking and SPAM mails;

- Security of information platforms that influence society in various aspects; 
(which are also related to data mining for fraud detection, intrusion detection 
and techniques of data anonymization.)

- Information visualizing tools and advanced applications for spatial data, 
spatio-temporal data, high dimensional data and graph-structured data; 

Important Dates

Submission of abstracts: October 11 (Mon), 2004 2pm PST
Submission of papers: October 18 (Mon), 2004 2pm PST
Notification of acceptance: December 13 (Mon), 2004

Contact information on the co-chairs

Workshop co-chair:
Dr. Jiawei Han
Professor, 
Department of Computer Science
Univ. of Illinois at Urbana-Champaign
Rm 2132, Siebel Center for Computer Science
201 N. Goodwin Avenue, Urbana, IL 61801, USA
E-mail: hanj [at] cs.uiuc.edu

Workshop co-chair:
Dr. Hiroyuki Kawano
Professor,
Department of Information and 
Telecommunication Engineering, 
Nanzan University,
Seirei-cho 27, Seto, Aichi, 489-0863, Japan
E-mail: kawano [at] it.nanzan-u.ac.jp

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