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SRDS
2008
IEEE
14 years 3 months ago
Application-Level Recovery Mechanisms for Context-Aware Pervasive Computing
We identify here various kinds of failure conditions and robustness issues that arise in context-aware pervasive computing applications. Such conditions are related to failures in...
Devdatta Kulkarni, Anand Tripathi
ICDM
2006
IEEE
161views Data Mining» more  ICDM 2006»
14 years 2 months ago
Personalization in Context: Does Context Matter When Building Personalized Customer Models?
The idea that context is important when predicting customer behavior has been maintained by scholars in marketing and data mining. However, no systematic study measuring how much ...
Michele Gorgoglione, Cosimo Palmisano, Alexander T...
SDM
2009
SIAM
223views Data Mining» more  SDM 2009»
14 years 5 months ago
Context Aware Trace Clustering: Towards Improving Process Mining Results.
Process Mining refers to the extraction of process models from event logs. Real-life processes tend to be less structured and more flexible. Traditional process mining algorithms...
R. P. Jagadeesh Chandra Bose, Wil M. P. van der Aa...
SIGOPSE
2004
ACM
14 years 2 months ago
Generic role assignment for wireless sensor networks
Wireless ad hoc networks of sensor nodes are envisioned to be deployed in the physical environment to monitor a wide variety of real-world phenomena. Almost any sensor network appl...
Kay Römer, Christian Frank, Pedro José...
TIP
2010
155views more  TIP 2010»
13 years 7 months ago
Laplacian Regularized D-Optimal Design for Active Learning and Its Application to Image Retrieval
—In increasingly many cases of interest in computer vision and pattern recognition, one is often confronted with the situation where data size is very large. Usually, the labels ...
Xiaofei He