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» Optimizing Queries in Extended Relational Databases
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ICDE
2007
IEEE
110views Database» more  ICDE 2007»
16 years 18 days ago
Semantic Prefetching of Correlated Query Sequences
We present a system that optimizes sequences of related client requests by combining small requests into larger ones, thus reducing per-request overhead. The system predicts upcom...
Ivan T. Bowman, Kenneth Salem
SIGMOD
2003
ACM
150views Database» more  SIGMOD 2003»
15 years 11 months ago
Capturing both Types and Constraints in Data Integration
We propose a framework for integrating data from multiple relational sources into an XML document that both conforms to a given DTD and satisfies predefined XML constraints. The f...
Michael Benedikt, Chee Yong Chan, Wenfei Fan, Juli...
CIKM
2006
Springer
15 years 3 months ago
Efficient join processing over uncertain data
In an uncertain database, each data item is modeled as a range associated with a probability density function. Previous works for this kind of data have focussed on simple queries...
Reynold Cheng, Sarvjeet Singh, Sunil Prabhakar, Ra...
VLDB
2004
ACM
158views Database» more  VLDB 2004»
15 years 4 months ago
REHIST: Relative Error Histogram Construction Algorithms
Histograms and Wavelet synopses provide useful tools in query optimization and approximate query answering. Traditional histogram construction algorithms, such as V-Optimal, optim...
Sudipto Guha, Kyuseok Shim, Jungchul Woo
ICDE
2003
IEEE
161views Database» more  ICDE 2003»
16 years 18 days ago
Structural Join Order Selection for XML Query Optimization
Structural join operations are central to evaluating queries against XML data, and are typically responsible for consuming a lion's share of the query processing time. Thus, ...
Yuqing Wu, Jignesh M. Patel, H. V. Jagadish