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» A Case Study for Learning from Imbalanced Data Sets
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PAKDD
2010
ACM
146views Data Mining» more  PAKDD 2010»
15 years 11 months ago
Mining Antagonistic Communities from Social Networks
During social interactions in a community, there are often sub-communities that behave in opposite manner. These antagonistic sub-communities could represent groups of people with ...
Kuan Zhang, David Lo, Ee-Peng Lim
KES
2006
Springer
15 years 6 months ago
The Repository Method for Chance Discovery in Financial Forecasting
Abstract. The aim of this work is to forecast future events in financial data sets, in particular, we focus our attention on situations where positive instances are rare, which fal...
Alma Lilia Garcia-Almanza, Edward P. K. Tsang
BIOTECHNO
2008
IEEE
16 years 17 days ago
Combining Boundaries and Ratings from Multiple Observers for Predicting Lung Nodule Characteristics
We use the data collected by the Lung Image Database Consortium (LIDC) for modeling the radiologists’ nodule interpretations based on image content of the nodule by using decisi...
Ekarin Varutbangkul, Vesna Mitrovic, Daniela Stan ...
ICDM
2006
IEEE
182views Data Mining» more  ICDM 2006»
16 years 4 days ago
Active Learning to Maximize Area Under the ROC Curve
In active learning, a machine learning algorithm is given an unlabeled set of examples U, and is allowed to request labels for a relatively small subset of U to use for training. ...
Matt Culver, Kun Deng, Stephen D. Scott
ICCBR
2005
Springer
15 years 11 months ago
Language Games: Solving the Vocabulary Problem in Multi-Case-Base Reasoning
The problem of heterogeneous case representation poses a major obstacle to realising real-life multi-case-base reasoning (MCBR) systems. The knowledge overhead in developing and ma...
Paolo Avesani, Conor Hayes, Marco Cova