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APCCM
2006
15 years 7 months ago
Network data mining: methods and techniques for discovering deep linkage between attributes
Network Data Mining identifies emergent networks between myriads of individual data items and utilises special algorithms that aid visualisation of `emergent' patterns and tre...
John Galloway, Simeon J. Simoff
CGF
2011
14 years 10 months ago
Visual Exploration of Time-Series Data with Shape Space Projections
Time-series data is a common target for visual analytics, as they appear in a wide range of application domains. Typical tasks in analyzing time-series data include identifying cy...
Matthew O. Ward, Zhenyu Guo
PODS
2008
ACM
159views Database» more  PODS 2008»
16 years 6 months ago
Approximation algorithms for clustering uncertain data
There is an increasing quantity of data with uncertainty arising from applications such as sensor network measurements, record linkage, and as output of mining algorithms. This un...
Graham Cormode, Andrew McGregor
CCGRID
2009
IEEE
16 years 1 months ago
BLAST Application with Data-Aware Desktop Grid Middleware
—There exists numerous Grid middleware to develop and execute programs on the computational Grid, but they still require intensive work from their users. BitDew is made to facili...
Haiwu He, Gilles Fedak, Bing Tang, Franck Cappello
CGF
2008
100views more  CGF 2008»
15 years 6 months ago
Density Displays for Data Stream Monitoring
In many business applications, large data workloads such as sales figures or process performance measures need to be monitored in real-time. The data analysts want to catch proble...
Ming C. Hao, Daniel A. Keim, Umeshwar Dayal, Danie...