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SIGMOD
2009
ACM
137views Database» more  SIGMOD 2009»
14 years 11 months ago
Robust and efficient algorithms for rank join evaluation
In the rank join problem we are given a relational join R1 1 R2 and a function that assigns numeric scores to the join tuples, and the goal is to return the tuples with the highes...
Jonathan Finger, Neoklis Polyzotis
SIGMOD
2008
ACM
90views Database» more  SIGMOD 2008»
14 years 11 months ago
Toward best-effort information extraction
Current approaches to develop information extraction (IE) programs have largely focused on producing precise IE results. As such, they suffer from three major limitations. First, ...
Warren Shen, Pedro DeRose, Robert McCann, AnHai Do...
SIGMOD
2008
ACM
206views Database» more  SIGMOD 2008»
14 years 11 months ago
Ad-hoc aggregations of ranked lists in the presence of hierarchies
A variety of web sites and web based services produce textual lists at varying time granularities ranked according to several criteria. For example, Google Trends produces lists o...
Nilesh Bansal, Sudipto Guha, Nick Koudas
SIGMOD
2007
ACM
153views Database» more  SIGMOD 2007»
14 years 11 months ago
Scaling games to epic proportion
We introduce scalability for computer games as the next frontier for techniques from data management. A very important aspect of computer games is the artificial intelligence (AI)...
Walker M. White, Alan J. Demers, Christoph Koch, J...
SIGMOD
2006
ACM
116views Database» more  SIGMOD 2006»
14 years 11 months ago
Fast range-summable random variables for efficient aggregate estimation
Exact computation for aggregate queries usually requires large amounts of memory ? constrained in data-streaming ? or communication ? constrained in distributed computation ? and ...
Florin Rusu, Alin Dobra
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