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CIDR
2009
155views Algorithms» more  CIDR 2009»
13 years 8 months ago
LifeRaft: Data-Driven, Batch Processing for the Exploration of Scientific Databases
Workloads that comb through vast amounts of data are gaining importance in the sciences. These workloads consist of "needle in a haystack" queries that are long running ...
Xiaodan Wang, Randal C. Burns, Tanu Malik
ASSETS
2007
ACM
13 years 11 months ago
Data visualisation and data mining technology for supporting care for older people
: The overall purpose of the research discussed here is the enhancement of home-based care by revealing individual patterns in the life of a person, through modelling of the "...
Nubia M. Gil, Nick A. Hine, John L. Arnott, Julien...
WKDD
2010
CPS
238views Data Mining» more  WKDD 2010»
13 years 5 months ago
3D Scientific Data Mining in Ion Trajectories
In physics, structure of glass and ion trajectories are essentially based on statistical analysis of data acquired through experimental measurement and computer simulation [1, 2]. ...
J. M. Sharif, M. Mahadi Abdul Jamil, Md. Asri Ngad...
ICDE
2010
IEEE
266views Database» more  ICDE 2010»
14 years 7 months ago
Provenance Browser: Displaying and Querying Scientific Workflow Provenance Graphs
Abstract-- This demonstration presents an interactive provenance browser for visualizing and querying data dependency (lineage) graphs produced by scientific workflow runs. The bro...
Bertram Ludäscher, Manish Kumar Anand, Shawn ...
IVS
2008
121views more  IVS 2008»
13 years 7 months ago
Using treemaps for variable selection in spatio-temporal visualisation
We demonstrate and reflect upon the use of enhanced treemaps that incorporate spatial and temporal ordering for exploring a large multivariate spatio-temporal data set. The result...
Aidan Slingsby, Jason Dykes, Jo Wood