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» A clustering method that uses lossy aggregation of data
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PAKDD
2005
ACM
161views Data Mining» more  PAKDD 2005»
14 years 1 months ago
Online Algorithms for Mining Inter-stream Associations from Large Sensor Networks
We study the problem of mining frequent value sets from a large sensor network. We discuss how sensor stream data could be represented that facilitates efficient online mining and ...
K. K. Loo, Ivy Tong, Ben Kao
SECON
2010
IEEE
13 years 5 months ago
RDAS: Reputation-Based Resilient Data Aggregation in Sensor Network
Data aggregation in wireless sensor networks is vulnerable to security attacks and natural failures. A few nodes can drastically alter the result of the aggregation by reporting er...
Carlos R. Perez-Toro, Rajesh Krishna Panta, Saurab...
TKDE
2012
487views Formal Methods» more  TKDE 2012»
11 years 10 months ago
Query Planning for Continuous Aggregation Queries over a Network of Data Aggregators
—Continuous queries are used to monitor changes to time varying data and to provide results useful for online decision making. Typically a user desires to obtain the value of som...
Rajeev Gupta, Krithi Ramamritham
BMCBI
2008
122views more  BMCBI 2008»
13 years 7 months ago
A practical comparison of two K-Means clustering algorithms
Background: Data clustering is a powerful technique for identifying data with similar characteristics, such as genes with similar expression patterns. However, not all implementat...
Gregory A. Wilkin, Xiuzhen Huang
IPAS
2007
13 years 10 months ago
Prediction of signs of DCT coefficients in block-based lossy image compression
A practical impossibility of prediction of signs of DCT coefficients is generally accepted. Therefore each coded sign of DCT coefficients occupies usually 1 bit of memory in compr...
Nikolay N. Ponomarenko, Andriy V. Bazhyna, Karen O...