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» Model Driven Development for Business Performance Management
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KDD
2002
ACM
171views Data Mining» more  KDD 2002»
16 years 4 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
SIGMOD
2009
ACM
197views Database» more  SIGMOD 2009»
16 years 4 months ago
Secure kNN computation on encrypted databases
Service providers like Google and Amazon are moving into the SaaS (Software as a Service) business. They turn their huge infrastructure into a cloud-computing environment and aggr...
Wai Kit Wong, David Wai-Lok Cheung, Ben Kao, Nikos...
146
Voted
ISORC
2006
IEEE
15 years 9 months ago
RTSTREAM: Real-Time Query Processing for Data Streams
Many real-time applications, such as traffic control systems, surveillance systems and health monitoring systems, need to operate on continuous unbounded streams of data. These ap...
Yuan Wei, Sang Hyuk Son, John A. Stankovic
176
Voted
HEURISTICS
2010
14 years 10 months ago
An evolutionary and constructive approach to a crew scheduling problem in underground passenger transport
Operation management of underground passenger transport systems is associated with combinatorial optimization problems (known as crew and train scheduling and rostering) which bel...
Rafael Elizondo, Víctor Parada, Lorena Prad...
129
Voted
WETICE
2003
IEEE
15 years 9 months ago
Weakly-structured Workflows for Knowledge-intensive Tasks: An Experimental Evaluation
Knowledge-intensive activities can typically not be modeled sufficiently by classical, static process models and workflows. To enable a process-oriented knowledge management appro...
Ludger van Elst, Felix-Robinson Aschoff, Ansgar Be...