KITAGAWA Hiroyuki
- Articles
- DB-Outlier Detection by Example in High Dimensional Datasets
Yuan Li; Hiroyuki Kitagawa
Proc. 3rd IEEE International Workshop on Databases for Next-Generation Researchers/p.73-78, 2007-04 - OLAP Query Processing for XML Data in RDBMS
Chantola Kit; Toshiyuki Amagasa; Hiroyuki Kitagawa
Proc. 3rd IEEE International Workshop on Databases for Next-Generation Researchers/p.7-12, 2007-04 - Topic Structure Mining for Document Sets Using Graph Structure
戸田 浩之; 北川 博之; 藤村 考; 片岡 良治; 奥 雅博
The IEICE transactions on information and systems (Japanese edetion)/90(2)/pp.292-310, 2007-02 - A Dynamic Mobility Histogram Construction Method Based on Markov Chains
石川 佳治; 町田 陽二; 北川 博之
The IEICE transactions on information and systems (Japanese edetion)/90(2)/pp.311-324, 2007-02 - Record Extraction from Large-scale Text Resources Considering Topics
張建偉; 石川佳治; 北川博之
IPSJ Transactions on Databases/48(SIG14(TOD35))/p.107-123, 2007-01 - Extracting Linear Relationships by Ratio Rules Based on Support and Confidence
濱本 雅史; 北川 博之
情報処理学会論文誌. データベース/47(19)/pp.54-71, 2006-12 - Topic Structure Mining using PageRank without Hyperlinks
Hiroyuki Toda; Ko Fujimura; Ryoji Kataoka; and Hiroyuki ...
9th International Conference on Asian Digital Libraries (ICADL 2006)/p.151-162, 2006-11 - Extracting Mnemonic Names of People from the Web
Tomoko Hokama; Hiroyuki Kitagawa
Pro. 9th International Conference on Asian Digital Libraries (ICADL 2006)/p.121-130, 2006-11 - Webデータを用いた人物の呼称抽出
外間 智子; 北川博之
DBSJ letters/5(2)/pp.49-52, 2006-09 - Ratio Rule Mining with Support and Confidence Factors
Masafumi Hamamoto; Hiroyuki Kitagawa
Proc. 3rd IEEE International Conference on Intelligent Systems (IS 2006)/p.500-505, 2006-09 - Topic Structure Mining for Document Sets using Graph-Based Analysis
Hiroyuki Toda; Ryoji Kataoka; Hiroyuki Kitagawa
Proc. 17th International Conference on Database and Expert Systems Applications (DEXA 2006)/p.327-337, 2006-09 - An Evaluation of a Scheme for Parallel Processing of XML Data using PC Clusters
城戸 健太郎; 天笠 俊之; 北川 博之
DBSJ letters/5(2)/pp.85-88, 2006-09 - Ratio Rule Mining Based on Locality
濱本 雅史; 北川 博之
IEICE technical report. Data engineering/106(150)/pp.25-30, 2006-07 - Towards Analytical Processing of XML Data
キット チャントラ; 天笠 俊之; 北川 博之
IPSJ SIG Notes/2006(77)/pp.201-208, 2006-07 - Feasibility Evaluation of Data Persistency Requirements in a Stream Management System
山田 真一; 渡辺 陽介; 北川 博之; 天笠 俊之
IEICE technical report. Data engineering/106(149)/pp.209-214, 2006-07 - Association Rule Mining for a Generalized Noisy Data Model
成田 和世; 北川 博之
IEICE technical report. Data engineering/106(150)/pp.49-54, 2006-07 - Record Extraction Based on User Feedback and Document Selection
張 建偉; 黒川 沙弓; 石川 佳治; 北川 博之
IEICE technical report. Data engineering/106(149)/pp.227-232, 2006-07 - Proposal of a Crawling Method for Finding Moved Web Pages
澤 菜津美; 飯田 敏成; 森嶋 厚行; 杉本 重雄; 北川 博之
IPSJ SIG Notes/2006(78)/pp.437-442, 2006-07 - Ratio Rule Mining Based on Locality
濱本 雅史; 北川 博之
IPSJ SIG Notes/2006(78)/pp.351-358, 2006-07 - Feasibility Evaluation of Data Persistency Requirements in a Stream Management System
山田 真一; 渡辺 陽介; 北川 博之; 天笠 俊之
IPSJ SIG Notes/2006(78)/pp.277-284, 2006-07 - Dependable Data Stream Processing in Distributed Environment
渡辺 陽介; 山田 真一; 北川 博之
IEICE technical report. Data engineering/106(149)/pp.203-208, 2006-07 - Towards Analytical Processing of XML Data(XML)
キット チャントラ; 天笠 俊之; 北川 博之
IEICE technical report. Data engineering/106(148)/pp.163-168, 2006-07 - Proposal of a Crawling Method for Finding Moved Web Pages
澤 菜津美; 飯田 敏成; 森嶋 厚行; 杉本 重雄; 北川 博之
IEICE technical report. Data engineering/106(150)/pp.91-95, 2006-07 - Association Rule Mining for a Generalized Noisy Data Model
成田 和世; 北川 博之
IPSJ SIG Notes/2006(78)/pp.383-390, 2006-07 - A Dynamic Mobility Histogram Construction Method Based on Markov Chains
Yoshiharu Ishikawa; Yoji Machida; and Hiroyuki Kitagawa; ...
Proc. 18th International Conference on Scientific and Statistical Database Management (SSDBM 2006)/p.359-368, 2006-07 - more...
- DB-Outlier Detection by Example in High Dimensional Datasets