Sciweavers

471 search results - page 23 / 95
» MapReduce: Simplified Data Processing on Large Clusters
Sort
View
SIGMOD
2010
ACM
321views Database» more  SIGMOD 2010»
14 years 16 days ago
HadoopDB in action: building real world applications
HadoopDB is a hybrid of MapReduce and DBMS technologies, designed to meet the growing demand of analyzing massive datasets on very large clusters of machines. Our previous work ha...
Azza Abouzied, Kamil Bajda-Pawlikowski, Jiewen Hua...
EMNETS
2007
13 years 11 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...
HCI
2007
13 years 9 months ago
FPF-SB : A Scalable Algorithm for Microarray Gene Expression Data Clustering
Efficient and effective analysis of large datasets from microarray gene expression data is one of the keys to time-critical personalized medicine. The issue we address here is the ...
Filippo Geraci, Mauro Leoncini, Manuela Montangero...
CCGRID
2002
IEEE
14 years 20 days ago
Multiple Query Optimization for Data Analysis Applications on Clusters of SMPs
This paper is concerned with the efficient execution of multiple query workloads on a cluster of SMPs. We target applications that access and manipulate large scientific dataset...
Henrique Andrade, Tahsin M. Kurç, Alan Suss...
BPM
2009
Springer
161views Business» more  BPM 2009»
14 years 2 months ago
Trace Clustering Based on Conserved Patterns: Towards Achieving Better Process Models
Process mining refers to the extraction of process models from event logs. Real-life processes tend to be less structured and more flexible. Traditional process mining algorithms ...
R. P. Jagadeesh Chandra Bose, Wil M. P. van der Aa...