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» A Data Stream Mining System
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SSDBM
1999
IEEE
118views Database» more  SSDBM 1999»
15 years 10 months ago
Evaluation of Ad Hoc OLAP: In-Place Computation
Large scale data analysis and mining activities, such as identifying interesting trends, making unusual patterns to stand out and verifying hypotheses, require sophisticated infor...
Damianos Chatziantoniou
VTC
2010
IEEE
176views Communications» more  VTC 2010»
15 years 4 months ago
Exploiting Redundancy in Iterative H.264 Joint Source and Channel Decoding For Robust Video Transmission
— In this paper we propose joint optimisation of soft-bit assisted iterative joint source and channel decoding with the aid of our proposed EXIT chart optimised redundant source ...
Nasruminallah, Lajos Hanzo
KDD
2009
ACM
203views Data Mining» more  KDD 2009»
16 years 7 months ago
Characterizing individual communication patterns
The increasing availability of electronic communication data, such as that arising from e-mail exchange, presents social and information scientists with new possibilities for char...
R. Dean Malmgren, Jake M. Hofman, Luis A. N. Amara...
SDM
2010
SIAM
256views Data Mining» more  SDM 2010»
15 years 8 months ago
The Application of Statistical Relational Learning to a Database of Criminal and Terrorist Activity
We apply statistical relational learning to a database of criminal and terrorist activity to predict attributes and event outcomes. The database stems from a collection of news ar...
B. Delaney, Andrew S. Fast, W. M. Campbell, C. J. ...
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