Sciweavers

538 search results - page 54 / 108
» Efficient and Effective Clustering Methods for Spatial Data ...
Sort
View
150
Voted
RT
1995
Springer
15 years 8 months ago
Spatial Domain Characterization and Control of Reconstruction Errors
Reconstruction is imperative whenever an image or a volume needs to be resampled as a result of an affine or perspective transformation, texture mapping, or volume rendering. We p...
Raghu Machiraju, J. Edward Swan II, Roni Yagel
TKDE
2008
128views more  TKDE 2008»
15 years 4 months ago
Mixed-Drove Spatiotemporal Co-Occurrence Pattern Mining
Mixed-drove spatiotemporal co-occurrence patterns (MDCOPs) represent subsets of two or more different object-types whose instances are often located in spatial and temporal proximi...
Mete Celik, Shashi Shekhar, James P. Rogers, James...
KDD
2003
ACM
148views Data Mining» more  KDD 2003»
16 years 5 months ago
Mining concept-drifting data streams using ensemble classifiers
Recently, mining data streams with concept drifts for actionable insights has become an important and challenging task for a wide range of applications including credit card fraud...
Haixun Wang, Wei Fan, Philip S. Yu, Jiawei Han
KDD
2004
ACM
168views Data Mining» more  KDD 2004»
16 years 5 months ago
Mining, indexing, and querying historical spatiotemporal data
In many applications that track and analyze spatiotemporal data, movements obey periodic patterns; the objects follow the same routes (approximately) over regular time intervals. ...
Nikos Mamoulis, Huiping Cao, George Kollios, Mario...
HCI
2007
15 years 6 months ago
FPF-SB : A Scalable Algorithm for Microarray Gene Expression Data Clustering
Efficient and effective analysis of large datasets from microarray gene expression data is one of the keys to time-critical personalized medicine. The issue we address here is the ...
Filippo Geraci, Mauro Leoncini, Manuela Montangero...