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» Active Mining in a Distributed Setting
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NIPS
2001
13 years 9 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...
HICSS
2007
IEEE
130views Biometrics» more  HICSS 2007»
14 years 2 months ago
Analysis of Activity in the Open Source Software Development Community
— Open Source Software is computer software for which the source code is publicly open for inspection, modification, and redistribution. While research of a few, large, successf...
Scott Christley, Gregory R. Madey
ICDM
2005
IEEE
168views Data Mining» more  ICDM 2005»
14 years 2 months ago
A Scalable Collaborative Filtering Framework Based on Co-Clustering
Collaborative filtering-based recommender systems, which automatically predict preferred products of a user using known preferences of other users, have become extremely popular ...
Thomas George, Srujana Merugu
WSDM
2012
ACM
325views Data Mining» more  WSDM 2012»
12 years 4 months ago
Correlating financial time series with micro-blogging activity
We study the problem of correlating micro-blogging activity with stock-market events, defined as changes in the price and traded volume of stocks. Specifically, we collect messa...
Eduardo J. Ruiz, Vagelis Hristidis, Carlos Castill...
ECCV
2008
Springer
14 years 10 months ago
Scale Invariant Action Recognition Using Compound Features Mined from Dense Spatio-temporal Corners
Abstract. The use of sparse invariant features to recognise classes of actions or objects has become common in the literature. However, features are often "engineered" to...
Andrew Gilbert, John Illingworth, Richard Bowden