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» A clustering method that uses lossy aggregation of data
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DMSN
2009
ACM
14 years 2 months ago
Message models and aggregation in knowledge based middleware for rich sensor systems
Networked, distributed real world sensing is an increasingly prominent topic in computing and has quickly expanded from resource constrained “sensor networks” measuring simple...
Joseph B. Kopena, William C. Regli, Boon Thau Loo
PAM
2009
Springer
14 years 2 months ago
On the 95-Percentile Billing Method
Abstract. The 95-percentile method is used widely for billing ISPs and websites. In this work, we characterize important aspects of the 95-percentile method using a large set of tr...
Xenofontas A. Dimitropoulos, Paul Hurley, Andreas ...
SDM
2003
SIAM
184views Data Mining» more  SDM 2003»
13 years 9 months ago
Finding Clusters of Different Sizes, Shapes, and Densities in Noisy, High Dimensional Data
The problem of finding clusters in data is challenging when clusters are of widely differing sizes, densities and shapes, and when the data contains large amounts of noise and out...
Levent Ertöz, Michael Steinbach, Vipin Kumar
SIGKDD
2002
93views more  SIGKDD 2002»
13 years 7 months ago
Randomization in Privacy-Preserving Data Mining
Suppose there are many clients, each having some personal information, and one server, which is interested only in aggregate, statistically significant, properties of this informa...
Alexandre V. Evfimievski
COMSWARE
2006
IEEE
14 years 1 months ago
Exploiting multi-channel clustering for power efficiency in sensor networks
Sensor networks typically comprise of a number of inexpensive small devices with processing, communication and sensing abilities that collaborate to perform a common task. Sensor d...
Ashima Gupta, Chao Gui, Prasant Mohapatra