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» Metrics for Evaluating Database Selection Techniques
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111
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PPDP
2010
Springer
14 years 11 months ago
Deriving predicate statistics in datalog
Database query optimizers rely on data statistics in selecting query execution plans. Similar query optimization techniques are desirable for deductive databases and, to make this...
Senlin Liang, Michael Kifer
CVPR
2001
IEEE
16 years 2 months ago
Learning Similarity Measure for Natural Image Retrieval with Relevance Feedback
A new scheme of learning similarity measure is proposed for content-based image retrieval (CBIR). It learns a boundary that separates the images in the database into two parts. Im...
Guodong Guo, Anil K. Jain, Wei-Ying Ma, HongJiang ...
PVLDB
2010
134views more  PVLDB 2010»
14 years 11 months ago
Conditioning and Aggregating Uncertain Data Streams: Going Beyond Expectations
Uncertain data streams are increasingly common in real-world deployments and monitoring applications require the evaluation of complex queries on such streams. In this paper, we c...
Thanh T. L. Tran, Andrew McGregor, Yanlei Diao, Li...
GIS
2010
ACM
14 years 11 months ago
Detecting nearly duplicated records in location datasets
The quality of a local search engine, such as Google and Bing Maps, heavily relies on its geographic datasets. Typically, these datasets are obtained from multiple sources, e.g., ...
Yu Zheng, Xixuan Fen, Xing Xie, Shuang Peng, James...
98
Voted
VLDB
2004
ACM
101views Database» more  VLDB 2004»
15 years 5 months ago
Taming XPath Queries by Minimizing Wildcard Steps
This paper presents a novel and complementary technique to optimize an XPath query by minimizing its wildcard steps. Our approach is based on using a general composite axis called...
Chee Yong Chan, Wenfei Fan, Yiming Zeng