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» Mining Multiple Large Databases
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CIKM
2006
Springer
15 years 10 months ago
Validating associations in biological databases
To cope with the large amount of biological sequences being produced, a significant number of genes and proteins have been annotated by automated tools. A protein annotation is an...
Francisco M. Couto, Mário J. Silva, Pedro C...
ICMCS
2007
IEEE
255views Multimedia» more  ICMCS 2007»
16 years 21 days ago
Distributed Architecture for Large Scale Image-Based Search
In recent years, some computer vision algorithms such as SIFT (Scale Invariant Feature Transform) have been employed in image similarity match to perform image-based search applic...
Yu Zheng, Xing Xie, Wei-Ying Ma
LREC
2010
168views Education» more  LREC 2010»
15 years 7 months ago
GRISP: A Massive Multilingual Terminological Database for Scientific and Technical Domains
The development of a multilingual terminology is a very long and costly process. We present the creation of a multilingual terminological database called GRISP covering multiple t...
Patrice Lopez, Laurent Romary
KDD
2006
ACM
121views Data Mining» more  KDD 2006»
16 years 6 months ago
Query-time entity resolution
The goal of entity resolution is to reconcile database references corresponding to the same real-world entities. Given the abundance of publicly available databases where entities...
Indrajit Bhattacharya, Lise Getoor, Louis Licamele
KDD
2002
ACM
193views Data Mining» more  KDD 2002»
16 years 6 months ago
Query, analysis, and visualization of hierarchically structured data using Polaris
In the last several years, large OLAP databases have become common in a variety of applications such as corporate data warehouses and scientific computing. To support interactive ...
Chris Stolte, Diane Tang, Pat Hanrahan