3R-9 Keyword Search Including Metadata in Relational Databases
スポンサーリンク
概要
- 論文の詳細を見る
- 一般社団法人情報処理学会の論文
- 2008-03-13
著者
-
KITAGAWA Hiroyuki
Graduate School of Environmental Studies, Nagoya University
-
Kitagawa Hiroyuki
Graduate School Of Environmental Studies Nagoya University
-
Kitagawa Hiroyuki
Graduate School Of Systems And Information Engineering University Of Tsukuba:center For Computationa
-
GU Jiajun
Graduate School of Systems and Information Engineering University of Tsukuba
-
顧 佳駿
Graduate School of Systems and Information Engineering University of Tsukuba
-
北川 博之
Graduate School of Systems and Information Engineering University of Tsukuba
関連論文
- Social Bookmarking Induced Active Page Ranking
- Environmental magnetic record and paleosecular variation data for the last 40kyrs from the Lake Biwa sediments, Central Japan
- Atmospheric radiocarbon calibration curve beyond 12.4 cal kyr BP(Proceedings of the 19^ Symposium on Chronological Studies at the Nagoya University Center for Chronological Research in 2006,Part1)
- An algorithm for parallel holistic twig joins on a PC cluster (データベースシステム)
- Detecting outliers in high dimensional datasets with examples (データベースシステム)
- 2T-6 A Robust Method of Detecting DB-Outliers in High Dimensional Datasets
- 3R-9 Keyword Search Including Metadata in Relational Databases
- Detecting outliers in high dimensional datasets with examples (データ光学)
- 3T-2 Continuous Query over Uncertain Data Streams
- Social Bookmarking Induced Active Page Ranking
- MV-OPES : Multivalued-Order Preserving Encryption Scheme : A Novel Scheme for Encrypting Integer Value to Many Different Values
- Cube-Based Analysis for Maintaining XML Data Partition for Holistic Twig Joins
- Example-Based Outlier Detection for High Dimensional Datasets
- Interactive Outlier Detection Adaptive to Users' Intentions (夏のデータベースワークショップDBWS2004)
- Interactive Outlier Detection Adaptive to Users' Intentions (夏のデータベースワークショップ(DBWS2004))
- Example-Based Outlier Detection for High Dimensional Datasets
- Querying Topic Evolution in Time Series Document Clusters
- Example-Based Outlier Detection for High Dimensional Datasets