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» Toward network data independence
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KDD
2009
ACM
166views Data Mining» more  KDD 2009»
16 years 1 months ago
Measuring the effects of preprocessing decisions and network forces in dynamic network analysis
Social networks have become a major focus of research in recent years, initially directed towards static networks but increasingly, towards dynamic ones. In this paper, we investi...
Jerry Scripps, Pang-Ning Tan, Abdol-Hossein Esfaha...
ICML
2001
IEEE
16 years 1 months ago
Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data
We present conditional random fields, a framework for building probabilistic models to segment and label sequence data. Conditional random fields offer several advantages over hid...
John D. Lafferty, Andrew McCallum, Fernando C. N. ...
101
Voted
IEEEARES
2009
IEEE
15 years 7 months ago
Routing Protocol Security Using Symmetric Key Based Techniques
—In this paper, we address the security of routing protocols. Internet routing protocols are subject to attacks in the control plane as well as the data plane. In the control pla...
Bezawada Bruhadeshwar, Kishore Kothapalli, M. Poor...
94
Voted
IJCNN
2000
IEEE
15 years 4 months ago
ICA for Noisy Neurobiological Data
ICA (Independent Component Analysis) is a new technique for analyzing multi-variant data. Lots of results are reported in the field of neurobiological data analysis such as EEG (...
Shiro Ikeda, Keisuke Toyama
106
Voted
CBMS
2001
IEEE
15 years 4 months ago
An Interoperable Data Architecture for Data Exchange in a Biomedical Research Network
Knowledge discovery and data correlation require a unified approach to basic data management. However, achieving such an approach is nearly impossible with hundreds of disparate d...
Daniel J. Crichton, J. Steven Hughes, Gregory J. D...