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WMCSA
2003
IEEE
15 years 9 months ago
Proximity Mining: Finding Proximity using Sensor Data History
Emerging ubiquitous and pervasive computing applications often need to know where things are physically located. To meet this need, many locationsensing systems have been develope...
Toshihiro Takada, Satoshi Kurihara, Toshio Hirotsu...
ADMA
2006
Springer
137views Data Mining» more  ADMA 2006»
15 years 7 months ago
SA-IFIM: Incrementally Mining Frequent Itemsets in Update Distorted Databases
Abstract. The issue of maintaining privacy in frequent itemset mining has attracted considerable attentions. In most of those works, only distorted data are available which may bri...
Jinlong Wang, Congfu Xu, Hongwei Dan, Yunhe Pan
ICDM
2008
IEEE
99views Data Mining» more  ICDM 2008»
15 years 10 months ago
Kernels for the Investigation of Localized Spatiotemporal Transitions of Drought with Support Vector Machines
We present and discuss several spatiotemporal kernels designed to mine real-life and simulated data in support of drought prediction. We implement and empirically validate these k...
Matthew W. Collier, Amy McGovern
PAMI
2002
135views more  PAMI 2002»
15 years 3 months ago
Density-Based Multiscale Data Condensation
Pabitra Mitra, C. A. Murthy, Sankar K. Pal
ICDM
2005
IEEE
139views Data Mining» more  ICDM 2005»
15 years 9 months ago
Approximate Inverse Frequent Itemset Mining: Privacy, Complexity, and Approximation
In order to generate synthetic basket data sets for better benchmark testing, it is important to integrate characteristics from real-life databases into the synthetic basket data ...
Yongge Wang, Xintao Wu