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» Visual Data Mining in Large Geospatial Point Sets
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CCGRID
2010
IEEE
13 years 6 months ago
High Performance Dimension Reduction and Visualization for Large High-Dimensional Data Analysis
Abstract--Large high dimension datasets are of growing importance in many fields and it is important to be able to visualize them for understanding the results of data mining appro...
Jong Youl Choi, Seung-Hee Bae, Xiaohong Qiu, Geoff...
SIGMOD
2000
ACM
173views Database» more  SIGMOD 2000»
13 years 8 months ago
Efficient Algorithms for Mining Outliers from Large Data Sets
In this paper, we propose a novel formulation for distance-based outliers that is based on the distance of a point from its kth nearest neighbor. We rank each point on the basis o...
Sridhar Ramaswamy, Rajeev Rastogi, Kyuseok Shim
SIGMOD
1998
ACM
271views Database» more  SIGMOD 1998»
13 years 4 months ago
Towards On-Line Analytical Mining in Large Databases
Great e orts have been paid in the Intelligent Database Systems Research Lab for the research and development of e cient data mining methods and construction of on-line analytical...
Jiawei Han
JPDC
2007
138views more  JPDC 2007»
13 years 5 months ago
Distributed computation of the knn graph for large high-dimensional point sets
High-dimensional problems arising from robot motion planning, biology, data mining, and geographic information systems often require the computation of k nearest neighbor (knn) gr...
Erion Plaku, Lydia E. Kavraki
VIS
2008
IEEE
174views Visualization» more  VIS 2008»
14 years 6 months ago
Extensions of Parallel Coordinates for Interactive Exploration of Large Multi-Timepoint Data Sets
Parallel coordinate plots (PCPs) are commonly used in information visualization to provide insight into multi-variate data. These plots help to spot correlations between variables....
Jorik Blaas, Charl P. Botha, Frits H. Post