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ICSE
2012
IEEE-ACM
13 years 6 months ago
Predicting performance via automated feature-interaction detection
Abstract—Customizable programs and program families provide user-selectable features to allow users to tailor a program to an application scenario. Knowing in advance which featu...
Norbert Siegmund, Sergiy S. Kolesnikov, Christian ...
141
Voted
KDD
2009
ACM
198views Data Mining» more  KDD 2009»
16 years 4 months ago
Pervasive parallelism in data mining: dataflow solution to co-clustering large and sparse Netflix data
All Netflix Prize algorithms proposed so far are prohibitively costly for large-scale production systems. In this paper, we describe an efficient dataflow implementation of a coll...
Srivatsava Daruru, Nena M. Marin, Matt Walker, Joy...
152
Voted
ICEBE
2005
IEEE
139views Business» more  ICEBE 2005»
15 years 9 months ago
Modeling and Reasoning about Uncertainty in Context-Aware Systems
Uncertainty always exists as an unavoidable factor when developing context-aware applications for pervasive computing environments [1][2][3][4]. In this paper, we propose a unifie...
Binh An Truong, Young-Koo Lee, Sungyoung Lee
145
Voted
SASO
2008
IEEE
15 years 10 months ago
Semantic Web Based Self-Management for a Pervasive Service Middleware
Self-management is one of the challenges for realizing Ambient Intelligence in pervasive computing. In this paper, we propose and present a semantic web based selfmanagement appro...
Weishan Zhang, Klaus Marius Hansen
143
Voted
DEBU
2006
121views more  DEBU 2006»
15 years 3 months ago
Probabilistic Data Management for Pervasive Computing: The Data Furnace Project
The wide deployment of wireless sensor and RFID (Radio Frequency IDentification) devices is one of the key enablers for next-generation pervasive computing applications, including...
Minos N. Garofalakis, Kurt P. Brown, Michael J. Fr...