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IWPC
2010
IEEE
15 years 4 months ago
Using Data Fusion and Web Mining to Support Feature Location in Software
—Data fusion is the process of integrating multiple sources of information such that their combination yields better results than if the data sources are used individually. This ...
Meghan Revelle, Bogdan Dit, Denys Poshyvanyk
DATE
2003
IEEE
97views Hardware» more  DATE 2003»
15 years 11 months ago
Enhancing Speedup in Network Processing Applications by Exploiting Instruction Reuse with Flow Aggregation
Instruction reuse is a microarchitectural technique that improves the execution time of a program by removing redundant computations at run-time. Although this is the job of an op...
G. Surendra, Subhasis Banerjee, S. K. Nandy
ICDE
2005
IEEE
123views Database» more  ICDE 2005»
16 years 7 months ago
High-Availability Algorithms for Distributed Stream Processing
Stream-processing systems are designed to support an emerging class of applications that require sophisticated and timely processing of high-volume data streams, often originating...
Alex Rasin, Jeong-Hyon Hwang, Magdalena Balazinska...
EWSN
2007
Springer
16 years 5 months ago
Removing Systematic Error in Node Localisation Using Scalable Data Fusion
Methods for node localisation in sensor networks usually rely upon the measurement of received strength, time-of-arrival, and/or angle-of-arrival of an incoming signal. In this pap...
Albert Krohn, Mike Hazas, Michael Beigl
IJIT
2004
15 years 7 months ago
IMDC: An Image-Mapped Data Clustering Technique for Large Datasets
In this paper, we present a new algorithm for clustering data in large datasets using image processing approaches. First the dataset is mapped into a binary image plane. The synthe...
Faruq A. Al-Omari, Nabeel I. Al-Fayoumi