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ML
2010
ACM
142views Machine Learning» more  ML 2010»
15 years 4 months ago
Fast adaptive algorithms for abrupt change detection
We propose two fast algorithms for abrupt change detection in streaming data that can operate on arbitrary unknown data distributions before and after the change. The first algor...
Daniel Nikovski, Ankur Jain
GIS
2004
ACM
16 years 7 months ago
A partial join approach for mining co-location patterns
Spatial co-location patterns represent the subsets of events whose instances are frequently located together in geographic space. We identified the computational bottleneck in the...
Jin Soung Yoo, Shashi Shekhar
HICSS
1999
IEEE
111views Biometrics» more  HICSS 1999»
15 years 10 months ago
T Spaces: The Next Wave
Millions of small heterogeneous computers are poised to spread into the infrastructure of our society. Though mostly inconspicuous today, disguised as nothing more than PIM (perso...
Tobin J. Lehman, Stephen W. McLaughry, Peter Wycko...
IBMSJ
1998
81views more  IBMSJ 1998»
15 years 6 months ago
T Spaces
Millions of small heterogeneous computers are poised to spread into the infrastructure of our society. Though mostly inconspicuous today, disguised as nothing more than PIM (perso...
Peter Wyckoff, Stephen W. McLaughry, Tobin J. Lehm...
SADM
2010
141views more  SADM 2010»
15 years 1 months ago
A parametric mixture model for clustering multivariate binary data
: The traditional latent class analysis (LCA) uses a mixture model with binary responses on each subject that are independent conditional on cluster membership. However, in many pr...
Ajit C. Tamhane, Dingxi Qiu, Bruce E. Ankenman