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SSDBM
2005
IEEE
175views Database» more  SSDBM 2005»
15 years 3 months ago
Assumption-Free Anomaly Detection in Time Series
Recent advancements in sensor technology have made it possible to collect enormous amounts of data in real time. However, because of the sheer volume of data most of it will never...
Li Wei, Nitin Kumar, Venkata Nishanth Lolla, Eamon...
RECOMB
2006
Springer
15 years 10 months ago
New Methods for Detecting Lineage-Specific Selection
Abstract. So far, most methods for identifying sequences under selection based on comparative sequence data have either assumed selectional pressures are the same across all branch...
Adam C. Siepel, Katherine S. Pollard, David Haussl...
ICDM
2006
IEEE
91views Data Mining» more  ICDM 2006»
15 years 3 months ago
Entropy-based Concept Shift Detection
When monitoring sensory data (e.g., from a wearable device) the context oftentimes changes abruptly: people move from one situation (e.g., working quietly in their office) to ano...
Peter Vorburger, Abraham Bernstein
IAT
2007
IEEE
15 years 4 months ago
Learn to Detect Phishing Scams Using Learning and Ensemble ?Methods
Phishing attack is a kind of identity theft which tries to steal confidential data like on-line bank account information. In a phishing attack scenario, attacker deceives users by...
Alireza Saberi, Mojtaba Vahidi, Behrouz Minaei-Bid...
ICML
2003
IEEE
15 years 10 months ago
Bayesian Network Anomaly Pattern Detection for Disease Outbreaks
Weng-Keen Wong, Andrew W. Moore, Gregory F. Cooper...