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» Dynamic Spatial Approximation Trees for Massive Data
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JCP
2008
174views more  JCP 2008»
13 years 5 months ago
Design and Implementation of Spatial Data Mining System (M-SDM) based on MATLAB
Taking the design of data analyzing software for imaging brain function -- SPM (Statistical Parameters Mapping) for reference, this study combined MATLAB, GIS and SDM organically, ...
Lu Zhao, Xinqi Zheng, Shuqing Wang
SDM
2012
SIAM
285views Data Mining» more  SDM 2012»
11 years 8 months ago
A Novel Approximation to Dynamic Time Warping allows Anytime Clustering of Massive Time Series Datasets
Given the ubiquity of time series data, the data mining community has spent significant time investigating the best time series similarity measure to use for various tasks and dom...
Qiang Zhu 0002, Gustavo E. A. P. A. Batista, Thana...
ADBIS
1994
Springer
87views Database» more  ADBIS 1994»
13 years 10 months ago
Variations of R-Tree Structure for Indexing of Spatial Objects
The data structures suitable for indexing of large spatial objects in databases are considered. Some generalizations of existing tree methods concerned approximation of spatial ob...
M. G. Martynov
KDD
2006
ACM
153views Data Mining» more  KDD 2006»
14 years 6 months ago
Spatial scan statistics: approximations and performance study
Spatial scan statistics are used to determine hotspots in spatial data, and are widely used in epidemiology and biosurveillance. In recent years, there has been much effort invest...
Deepak Agarwal, Andrew McGregor, Jeff M. Phillips,...
KDD
2000
ACM
101views Data Mining» more  KDD 2000»
13 years 9 months ago
Incremental quantile estimation for massive tracking
Data--call records, internet packet headers, or other transaction records--are coming down a pipe at a ferocious rate, and we need to monitor statistics of the data. There is no r...
Fei Chen, Diane Lambert, José C. Pinheiro