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ICDM
2010
IEEE
125views Data Mining» more  ICDM 2010»
15 years 4 months ago
Evolving Ensemble-Clustering to a Feedback-Driven Process
Abstract--Data clustering is a highly used knowledge extraction technique and is applied in more and more application domains. Over the last years, a lot of algorithms have been pr...
Martin Hahmann, Dirk Habich, Wolfgang Lehner
ISLPED
1997
ACM
99views Hardware» more  ISLPED 1997»
15 years 10 months ago
Low power data processing by elimination of redundant computations
We suggest a new technique to reduce energy consumption in the processor datapath without sacrificing performance by exploiting operand value locality at run time. Data locality is...
Mir Azam, Paul D. Franzon, Wentai Liu
PODS
2009
ACM
229views Database» more  PODS 2009»
16 years 6 months ago
Computing all skyline probabilities for uncertain data
Skyline computation is widely used in multi-criteria decision making. As research in uncertain databases draws increasing attention, skyline queries with uncertain data have also ...
Mikhail J. Atallah, Yinian Qi
ICCD
2006
IEEE
92views Hardware» more  ICCD 2006»
16 years 3 months ago
Fast Speculative Address Generation and Way Caching for Reducing L1 Data Cache Energy
— L1 data caches in high-performance processors continue to grow in set associativity. Higher associativity can significantly increase the cache energy consumption. Cache access...
Dan Nicolaescu, Babak Salamat, Alexander V. Veiden...
ECAI
2008
Springer
15 years 8 months ago
Extracting Semantic Annotations from Moodle Data
The purpose of this paper is to provide a solution which allows automatic reasoning processes over Moodle activities logs, in order to obtain user-personalized recommendations. Act...
Mihai Gabroveanu, Ion-Mircea Diaconescu