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MOBISYS
2007
ACM
15 years 9 months ago
Participatory user centered design techniques for a large scale ad-hoc health information system
During mass casualty incidents, an enormous amount of data, including the vital signs of the patients, the location of the patients, and the location of the first responders must ...
Tia Gao, Tammara Massey, Majid Sarrafzadeh, Leo Se...
ECML
2006
Springer
15 years 1 months ago
An Adaptive Kernel Method for Semi-supervised Clustering
Semi-supervised clustering uses the limited background knowledge to aid unsupervised clustering algorithms. Recently, a kernel method for semi-supervised clustering has been introd...
Bojun Yan, Carlotta Domeniconi
ICDE
2008
IEEE
153views Database» more  ICDE 2008»
15 years 11 months ago
A Framework for Clustering Uncertain Data Streams
Abstract-- In recent years, uncertain data management applications have grown in importance because of the large number of hardware applications which measure data approximately. F...
Charu C. Aggarwal, Philip S. Yu
SIGMOD
1999
ACM
183views Database» more  SIGMOD 1999»
15 years 1 months ago
OPTICS: Ordering Points To Identify the Clustering Structure
Cluster analysis is a primary method for database mining. It is either used as a stand-alone tool to get insight into the distribution of a data set, e.g. to focus further analysi...
Mihael Ankerst, Markus M. Breunig, Hans-Peter Krie...
ICC
2007
IEEE
186views Communications» more  ICC 2007»
15 years 3 months ago
An Efficient Cluster-Based Proactive Secret Share Update Scheme for Mobile Ad Hoc Networks
– When implementing public key security ser- easy for an adversary to collect data and attack. To solve this vices in mobile ad hoc networks (MANETs), multiple problem, the distr...
Ying Dong, Ai Fen Sui, Siu-Ming Yiu, Victor O. K. ...