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SIGMOD
2007
ACM
183views Database» more  SIGMOD 2007»
14 years 7 months ago
Leveraging aggregate constraints for deduplication
We show that aggregate constraints (as opposed to pairwise constraints) that often arise when integrating multiple sources of data, can be leveraged to enhance the quality of dedu...
Surajit Chaudhuri, Anish Das Sarma, Venkatesh Gant...
IWPEC
2010
Springer
13 years 5 months ago
Partial Kernelization for Rank Aggregation: Theory and Experiments
RANK AGGREGATION is important in many areas ranging from web search over databases to bioinformatics. The underlying decision problem KEMENY SCORE is NP-complete even in case of fo...
Nadja Betzler, Robert Bredereck, Rolf Niedermeier
AI
2005
Springer
13 years 7 months ago
Asynchronous aggregation and consistency in distributed constraint satisfaction
Constraint Satisfaction Problems (CSP) have been very successful in problem-solving tasks ranging from resource allocation and scheduling to configuration and design. Increasingly...
Marius-Calin Silaghi, Boi Faltings
WSDM
2009
ACM
138views Data Mining» more  WSDM 2009»
14 years 2 months ago
Integration of news content into web results
Aggregated search refers to the integration of content from specialized corpora or verticals into web search results. Aggregation improves search when the user has vertical intent...
Fernando Diaz
ICDE
2003
IEEE
96views Database» more  ICDE 2003»
14 years 8 months ago
Pushing Aggregate Constraints by Divide-and-Approximate
Iceberg-cube mining is to compute the GROUP BY partitions, for all GROUP BY dimension lists, that satisfy a given aggregate constraint. Previous works have pushed anti-monotone co...
Ke Wang, Yuelong Jiang, Jeffrey Xu Yu, Guozhu Dong...