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KDD
2009
ACM
224views Data Mining» more  KDD 2009»
15 years 2 months ago
Issues in evaluation of stream learning algorithms
Learning from data streams is a research area of increasing importance. Nowadays, several stream learning algorithms have been developed. Most of them learn decision models that c...
João Gama, Raquel Sebastião, Pedro P...
DGO
2011
285views Education» more  DGO 2011»
13 years 9 months ago
Social media use by government: from the routine to the critical
Social media (i.e., Twitter, Facebook, Flickr, YouTube) and other services with user-generated content have made a staggering amount of information (and misinformation) available....
Andrea L. Kavanaugh, Edward A. Fox, Steven D. Shee...
ICML
2001
IEEE
15 years 10 months ago
Bayesian approaches to failure prediction for disk drives
Hard disk drive failures are rare but are often costly. The ability to predict failures is important to consumers, drive manufacturers, and computer system manufacturers alike. In...
Greg Hamerly, Charles Elkan
ICCVG
2010
14 years 7 months ago
A New Method for ECG Signal Feature Extraction
Abstract. The paper concentrates on electrocardiographic (ECG) signal analysis for the sake of acquiring proper heartbeat datasets for further detection and recognition of anomalie...
Adam Szczepanski, Khalid Saeed, Alois Ferscha
SIGMOD
2010
ACM
186views Database» more  SIGMOD 2010»
15 years 2 months ago
Fast approximate correlation for massive time-series data
We consider the problem of computing all-pair correlations in a warehouse containing a large number (e.g., tens of thousands) of time-series (or, signals). The problem arises in a...
Abdullah Mueen, Suman Nath, Jie Liu