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ICDM
2010
IEEE
228views Data Mining» more  ICDM 2010»
13 years 5 months ago
Active Learning from Multiple Noisy Labelers with Varied Costs
In active learning, where a learning algorithm has to purchase the labels of its training examples, it is often assumed that there is only one labeler available to label examples, ...
Yaling Zheng, Stephen D. Scott, Kun Deng
SIGKDD
2008
248views more  SIGKDD 2008»
13 years 8 months ago
Web data mining: exploring hyperlinks, contents, and usage data
This paper presents a review of the book "Web Data Mining - Exploring Hyperlinks, Contents, and Usage Data" by Bing Liu. The review concludes that the breadth and depth ...
Olfa Nasraoui
NIPS
2001
13 years 10 months ago
Active Learning in the Drug Discovery Process
We investigate the following data mining problem from Computational Chemistry: From a large data set of compounds, find those that bind to a target molecule in as few iterations o...
Manfred K. Warmuth, Gunnar Rätsch, Michael Ma...
SDM
2010
SIAM
191views Data Mining» more  SDM 2010»
13 years 10 months ago
Active Ordering of Interactive Prediction Tasks
Many applications involve a set of prediction tasks that must be accomplished sequentially through user interaction. If the tasks are interdependent, the order in which they are p...
Abhimanyu Lad, Yiming Yang
ADMA
2005
Springer
124views Data Mining» more  ADMA 2005»
13 years 10 months ago
Finding All Frequent Patterns Starting from the Closure
Efficient discovery of frequent patterns from large databases is an active research area in data mining with broad applications in industry and deep implications in many areas of d...
Mohammad El-Hajj, Osmar R. Zaïane