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» T-Time: Threshold-Based Data Mining on Time Series
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ICDM
2008
IEEE
97views Data Mining» more  ICDM 2008»
14 years 2 months ago
Semi-supervised Learning from General Unlabeled Data
We consider the problem of Semi-supervised Learning (SSL) from general unlabeled data, which may contain irrelevant samples. Within the binary setting, our model manages to better...
Kaizhu Huang, Zenglin Xu, Irwin King, Michael R. L...
EUSFLAT
2009
163views Fuzzy Logic» more  EUSFLAT 2009»
13 years 5 months ago
A Fuzzy Set Approach to Ecological Knowledge Discovery
Besides the problem of searching for effective methods for extracting knowledge from large databases (KDD) there are some additional problems with handling ecological data, namely ...
Arkadiusz Salski
KDD
2010
ACM
233views Data Mining» more  KDD 2010»
13 years 11 months ago
Evolutionary hierarchical dirichlet processes for multiple correlated time-varying corpora
Mining cluster evolution from multiple correlated time-varying text corpora is important in exploratory text analytics. In this paper, we propose an approach called evolutionary h...
Jianwen Zhang, Yangqiu Song, Changshui Zhang, Shix...
GFKL
2005
Springer
97views Data Mining» more  GFKL 2005»
14 years 1 months ago
Parameter Optimization in Automatic Transcription of Music
Based on former work on automatic transcription of musical time series into sheet music (Ligges et al. (2002), Weihs and Ligges (2003, 2005)) in this paper parameters of the transc...
Claus Weihs, Uwe Ligges
KDD
2007
ACM
209views Data Mining» more  KDD 2007»
14 years 8 months ago
Temporal causal modeling with graphical granger methods
The need for mining causality, beyond mere statistical correlations, for real world problems has been recognized widely. Many of these applications naturally involve temporal data...
Andrew Arnold, Yan Liu, Naoki Abe