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» Ranking distributed probabilistic data
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135
Voted
ICDE
2010
IEEE
219views Database» more  ICDE 2010»
16 years 3 months ago
PIP: A Database System for Great and Small Expectations
Estimation via sampling out of highly selective join queries is well known to be problematic, most notably in online aggregation. Without goal-directed sampling strategies, samples...
Oliver Kennedy, Christoph Koch
115
Voted
KDD
1997
ACM
154views Data Mining» more  KDD 1997»
15 years 7 months ago
Autonomous Discovery of Reliable Exception Rules
This paper presents an autonomous algorithm for discovering exception rules from data sets. An exception rule, which is defined as a deviational pattern to a well-known fact, exhi...
Einoshin Suzuki
149
Voted
CLOUD
2010
ACM
15 years 8 months ago
Stateful bulk processing for incremental analytics
This work addresses the need for stateful dataflow programs that can rapidly sift through huge, evolving data sets. These data-intensive applications perform complex multi-step c...
Dionysios Logothetis, Christopher Olston, Benjamin...
128
Voted
HICSS
2010
IEEE
166views Biometrics» more  HICSS 2010»
15 years 10 months ago
Spatial Variation in Search Engine Results
Geographic information retrieval (GIR) is, as a branch of traditional information retrieval, a discipline that tries to enrich data with geographical information to make it suitab...
David Noack
247
Voted
ECOWS
2009
Springer
15 years 10 months ago
A Model and Algorithm for Self-Adaptation in Service-oriented Systems
Abstract—In this paper, we address the problem of selfadaptation in internet-scale service-oriented systems. Services need to adapt by select the best neighboring services solely...
Christoph Dorn, Daniel Schall, Schahram Dustdar