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ESA
2010
Springer
183views Algorithms» more  ESA 2010»
15 years 5 months ago
Spatio-temporal Range Searching over Compressed Kinetic Sensor Data
As sensor networks increase in size and number, efficient techniques are required to process the very large data sets that they generate. Frequently, sensor networks monitor object...
Sorelle A. Friedler, David M. Mount
CHI
2008
ACM
16 years 5 months ago
Integrating statistics and visualization: case studies of gaining clarity during exploratory data analysis
Although both statistical methods and visualizations have been used by network analysts, exploratory data analysis remains a challenge. We propose that a tight integration of thes...
Adam Perer, Ben Shneiderman
OTM
2005
Springer
15 years 10 months ago
Don't Mind Your Vocabulary: Data Sharing Across Heterogeneous Peers
The strong dynamics of peer-to-peer networks, coupled with the diversity of peer vocabularies, makes query processing in peer database systems a very challenging task. In this pape...
Mehedi Masud, Iluju Kiringa, Anastasios Kementsiet...
ML
2010
ACM
151views Machine Learning» more  ML 2010»
15 years 3 months ago
Inductive transfer for learning Bayesian networks
In several domains it is common to have data from different, but closely related problems. For instance, in manufacturing, many products follow the same industrial process but with...
Roger Luis, Luis Enrique Sucar, Eduardo F. Morales
SDM
2012
SIAM
305views Data Mining» more  SDM 2012»
13 years 7 months ago
Learning Hierarchical Relationships among Partially Ordered Objects with Heterogeneous Attributes and Links
Objects linking with many other objects in an information network may imply various semantic relationships. Uncovering such knowledge is essential for role discovery, data cleanin...
Chi Wang, Jiawei Han, Qi Li, Xiang Li, Wen-Pin Lin...