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DATAMINE
2008
143views more  DATAMINE 2008»
14 years 10 months ago
Automatically countering imbalance and its empirical relationship to cost
Learning from imbalanced datasets presents a convoluted problem both from the modeling and cost standpoints. In particular, when a class is of great interest but occurs relatively...
Nitesh V. Chawla, David A. Cieslak, Lawrence O. Ha...
KDD
2008
ACM
163views Data Mining» more  KDD 2008»
15 years 10 months ago
The cost of privacy: destruction of data-mining utility in anonymized data publishing
Re-identification is a major privacy threat to public datasets containing individual records. Many privacy protection algorithms rely on generalization and suppression of "qu...
Justin Brickell, Vitaly Shmatikov
MICRO
2007
IEEE
113views Hardware» more  MICRO 2007»
14 years 9 months ago
The High Cost of a Cheap Lesson
y abstract, it is grounded in the experience of many markets. As I will illustrate, it explains much strategic behavior. Information spreads With a bit of effort, any technically s...
Shane Greenstein
COLT
2000
Springer
15 years 2 months ago
On the Convergence Rate of Good-Turing Estimators
Good-Turing adjustments of word frequencies are an important tool in natural language modeling. In particular, for any sample of words, there is a set of words not occuring in tha...
David A. McAllester, Robert E. Schapire
SDM
2012
SIAM
355views Data Mining» more  SDM 2012»
13 years 7 days ago
Granger Causality Analysis in Irregular Time Series
Learning temporal causal structures between time series is one of the key tools for analyzing time series data. In many real-world applications, we are confronted with Irregular T...
Mohammad Taha Bahadori, Yan Liu