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SDM
2010
SIAM
195views Data Mining» more  SDM 2010»
15 years 8 months ago
Adaptive Informative Sampling for Active Learning
Many approaches to active learning involve periodically training one classifier and choosing data points with the lowest confidence. An alternative approach is to periodically cho...
Zhenyu Lu, Xindong Wu, Josh Bongard
SDM
2007
SIAM
137views Data Mining» more  SDM 2007»
15 years 8 months ago
Semi-supervised Feature Selection via Spectral Analysis
Feature selection is an important task in effective data mining. A new challenge to feature selection is the so-called “small labeled-sample problem” in which labeled data is...
Zheng Zhao, Huan Liu
CORR
2006
Springer
146views Education» more  CORR 2006»
15 years 7 months ago
The Haar Wavelet Transform of a Dendrogram
While there is a very long tradition of approximating a data array by projecting row or column vectors into a lower dimensional subspace the direct approximation of a data matrix ...
Fionn Murtagh
ICDM
2009
IEEE
167views Data Mining» more  ICDM 2009»
15 years 4 months ago
Self-Adaptive Anytime Stream Clustering
Clustering streaming data requires algorithms which are capable of updating clustering results for the incoming data. As data is constantly arriving, time for processing is limited...
Philipp Kranen, Ira Assent, Corinna Baldauf, Thoma...
ICDM
2007
IEEE
174views Data Mining» more  ICDM 2007»
16 years 1 months ago
Targeting Input Data for Acoustic Bird Species Recognition Using Data Mining and HMMs
In this paper we propose the integration of Data Mining with Hidden Markov Models when applied to the problem of acoustic bird species recognition. We first show how each of them...
Erika Vilches, Ivan A. Escobar, Edgar E. Vallejo, ...