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» Data Mining Techniques on the Evaluation of Wireless Churn
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CCGRID
2009
IEEE
15 years 4 months ago
Performance Issues in Parallelizing Data-Intensive Applications on a Multi-core Cluster
The deluge of available data for analysis demands the need to scale the performance of data mining implementations. With the current architectural trends, one of the major challen...
Vignesh T. Ravi, Gagan Agrawal
ADMA
2005
Springer
117views Data Mining» more  ADMA 2005»
14 years 11 months ago
Context-Sensitive Regression Analysis for Distributed Data
A precondition of existing ensemble-based distributed data mining techniques is the assumption that contributing data are identically and independently distributed. However, this a...
Yan Xing, Michael G. Madden, Jim Duggan, Gerard Ly...
86
Voted
SIGMOD
2010
ACM
305views Database» more  SIGMOD 2010»
15 years 2 months ago
MoveMine: mining moving object databases
With the maturity of GPS, wireless, and Web technologies, increasing amounts of movement data collected from various moving objects, such as animals, vehicles, mobile devices, and...
Zhenhui Li, Ming Ji, Jae-Gil Lee, Lu An Tang, Yint...
76
Voted
OTM
2009
Springer
15 years 2 months ago
Optimizing Data Management in Grid Environments
Grids currently serve as platforms for numerous scientific as well as business applications that generate and access vast amounts of data. In this paper, we address the need for e...
Antonis Zissimos, Katerina Doka, Antony Chazapis, ...
116
Voted
MOBIDE
2010
ACM
14 years 9 months ago
Using data mining to handle missing data in multi-hop sensor network applications
A sensor's data loss or corruption, aka sensor data missing, is a common phenomenon in modern wireless sensor networks. It is more severe for multi-hop sensor network (MSN) a...
Le Gruenwald, Hanqing Yang, Md. Shiblee Sadik, Rah...