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POPL
2008
ACM
14 years 7 months ago
Imperative self-adjusting computation
Self-adjusting computation enables writing programs that can automatically and efficiently respond to changes to their data (e.g., inputs). The idea behind the approach is to stor...
Umut A. Acar, Amal Ahmed, Matthias Blume
SIGMOD
2009
ACM
136views Database» more  SIGMOD 2009»
14 years 7 months ago
A comparison of approaches to large-scale data analysis
There is currently considerable enthusiasm around the MapReduce (MR) paradigm for large-scale data analysis [17]. Although the basic control flow of this framework has existed in ...
Andrew Pavlo, Erik Paulson, Alexander Rasin, Danie...
SIGMOD
2009
ACM
190views Database» more  SIGMOD 2009»
14 years 7 months ago
Optimizing complex extraction programs over evolving text data
Most information extraction (IE) approaches have considered only static text corpora, over which we apply IE only once. Many real-world text corpora however are dynamic. They evol...
Fei Chen 0002, Byron J. Gao, AnHai Doan, Jun Yang ...
SIGMOD
2007
ACM
153views Database» more  SIGMOD 2007»
14 years 7 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...
MOBISYS
2008
ACM
14 years 7 months ago
Composcan: adaptive scanning for efficient concurrent communications and positioning with 802.11
Using 802.11 concurrently for communications and positioning is problematic, especially if location-based services (e.g., indoor navigation) are concurrently executed with real-ti...
Mikkel Baun Kjærgaard, Thomas King