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KDD
2000
ACM
121views Data Mining» more  KDD 2000»
15 years 10 months ago
Mining high-speed data streams
Many organizations today have more than very large databases; they have databases that grow without limit at a rate of several million records per day. Mining these continuous dat...
Pedro Domingos, Geoff Hulten
TSE
2010
197views more  TSE 2010»
15 years 1 months ago
A Genetic Algorithm-Based Stress Test Requirements Generator Tool and Its Empirical Evaluation
Genetic algorithms (GAs) have been applied previously to UML-driven, stress test requirements generation with the aim of increasing chances of discovering faults relating to networ...
Vahid Garousi
ICDE
2009
IEEE
214views Database» more  ICDE 2009»
16 years 8 months ago
Ranking with Uncertain Scores
Large databases with uncertain information are becoming more common in many applications including data integration, location tracking, and Web search. In these applications, ranki...
Mohamed A. Soliman, Ihab F. Ilyas
MHCI
2009
Springer
16 years 25 days ago
Using handheld devices for mobile interaction with displays in home environments
An increasing number of households are equipped with a large number of TV sets and more and more of them are large highresolution displays. Furthermore, we see the integration of ...
Andreas Lorenz, Clara Fernandez De Castro, Enrico ...
ECOOP
2004
Springer
15 years 11 months ago
Finding and Removing Performance Bottlenecks in Large Systems
Abstract. Software systems obey the 80/20 rule: aggressively optimizing a vital few execution paths yields large speedups. However, finding the vital few paths can be difficult, e...
Glenn Ammons, Jong-Deok Choi, Manish Gupta, Nikhil...