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KDD
2002
ACM
171views Data Mining» more  KDD 2002»
15 years 10 months ago
Mining complex models from arbitrarily large databases in constant time
In this paper we propose a scaling-up method that is applicable to essentially any induction algorithm based on discrete search. The result of applying the method to an algorithm ...
Geoff Hulten, Pedro Domingos
STOC
2001
ACM
134views Algorithms» more  STOC 2001»
15 years 10 months ago
Data-streams and histograms
Histograms are typically used to approximate data distributions. Histograms and related synopsis structures have been successful in a wide variety of popular database applications...
Sudipto Guha, Nick Koudas, Kyuseok Shim
SIGMOD
2004
ACM
154views Database» more  SIGMOD 2004»
15 years 10 months ago
Compressing Historical Information in Sensor Networks
We are inevitably moving into a realm where small and inexpensive wireless devices would be seamlessly embedded in the physical world and form a wireless sensor network in order t...
Antonios Deligiannakis, Yannis Kotidis, Nick Rouss...
EDBT
2008
ACM
138views Database» more  EDBT 2008»
15 years 10 months ago
Mine your own business, mine others' news!
Major media companies such as The Financial Times, the Wall Street Journal or Reuters generate huge amounts of textual news data on a daily basis. Mining frequent patterns in this...
Boualem Benatallah, Guillaume Raschia, Noureddine ...
INFOCOM
2009
IEEE
15 years 4 months ago
Layered Multicast with Inter-Layer Network Coding
—Multirate multicast is a powerful methodology of multimedia communication in heterogenous networks. A variant of multirate multicast motivated by scalable multimedia streaming i...
Sorina Dumitrescu, Mingkai Shao, Xiaolin Wu