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COMAD
1994
14 years 11 months ago
An Adaptive, Load Balancing Parallel Join Algorithm
Many parallel join algorithms have been proposed in the last several years. However, most of these algorithms require that the amount of data to be joined is known in advance in o...
Minesh B. Amin, Donovan A. Schneider, V. Singh
EMNETS
2007
15 years 1 months ago
Image browsing, processing, and clustering for participatory sensing: lessons from a DietSense prototype
Imagers are an increasingly significant source of sensory observations about human activity and the urban environment. ImageScape is a software tool for processing, clustering, an...
Sasank Reddy, Andrew Parker, Josh Hyman, Jeff Burk...
EDBT
2002
ACM
123views Database» more  EDBT 2002»
15 years 10 months ago
UMiner: A Data Mining System Handling Uncertainty and Quality
In this paper we present UMiner, a new data mining system, which improves the quality of the data analysis results, handles uncertainty in the clustering & classification proce...
Christos Amanatidis, Maria Halkidi, Michalis Vazir...
DEXAW
1999
IEEE
202views Database» more  DEXAW 1999»
15 years 2 months ago
Optimizing Global Query Processing Plans in Heterogeneous and Distributed Multidatabase Systems
This work addresses a problem of optimal query processing in heterogeneous and distributed multidatabase systems. The objective is to nd a method for opimization of global query p...
Janusz R. Getta, Seyed M. Sedighi
SIGMOD
2010
ACM
277views Database» more  SIGMOD 2010»
15 years 2 months ago
A comparison of join algorithms for log processing in MaPreduce
The MapReduce framework is increasingly being used to analyze large volumes of data. One important type of data analysis done with MapReduce is log processing, in which a click-st...
Spyros Blanas, Jignesh M. Patel, Vuk Ercegovac, Ju...