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JIIS
2006
113views more  JIIS 2006»
14 years 9 months ago
Spatial ordering and encoding for geographic data mining and visualization
: Geographic information (e.g., locations, networks, and nearest neighbors) are unique and different from other aspatial attributes (e.g., population, sales, or income). It is a ch...
Diansheng Guo, Mark Gahegan
TVCG
2012
185views Hardware» more  TVCG 2012»
12 years 12 months ago
Interest Driven Navigation in Visualization
—This paper describes a new method to explore and discover within a large data set. We apply techniques from preference elicitation to automatically identify data elements that a...
Christopher G. Healey, Brent M. Dennis
INFOVIS
1999
IEEE
15 years 1 months ago
Cluster and Calendar Based Visualization of Time Series Data
A new method is presented to get insight into univariate time series data. The problem addressed here is how to identify patterns and trends on multiple time scales (days, weeks, ...
Jarke J. van Wijk, Edward R. van Selow
INFOVIS
2003
IEEE
15 years 2 months ago
EdgeLens: An Interactive Method for Managing Edge Congestion in Graphs
An increasing number of tasks require people to explore, navigate and search extremely complex data sets visualized as graphs. Examples include electrical and telecommunication ne...
Nelson Wong, M. Sheelagh T. Carpendale, Saul Green...
SIGMOD
2008
ACM
215views Database» more  SIGMOD 2008»
15 years 9 months ago
CSV: visualizing and mining cohesive subgraphs
Extracting dense sub-components from graphs efficiently is an important objective in a wide range of application domains ranging from social network analysis to biological network...
Nan Wang, Srinivasan Parthasarathy, Kian-Lee Tan, ...