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170
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SDM
2007
SIAM
177views Data Mining» more  SDM 2007»
15 years 6 months ago
Bursty Feature Representation for Clustering Text Streams
Text representation plays a crucial role in classical text mining, where the primary focus was on static text. Nevertheless, well-studied static text representations including TFI...
Qi He, Kuiyu Chang, Ee-Peng Lim, Jun Zhang
ACL
2004
15 years 6 months ago
Chinese Verb Sense Discrimination Using an EM Clustering Model with Rich Linguistic Features
This paper discusses the application of the Expectation-Maximization (EM) clustering algorithm to the task of Chinese verb sense discrimination. The model utilized rich linguistic...
Jinying Chen, Martha Stone Palmer
68
Voted
ICASSP
2011
IEEE
14 years 8 months ago
Multi-stream spectro-temporal and cepstral features based on data-driven hierarchical phoneme clusters
We propose a method to enhance multi-stream Gabor and MFCC features using data-driven hierarchical phoneme clusters to yield more discriminating posteriors. We take into account d...
Shang-wen Li, Liang-Che Sun, Lin-Shan Lee
IJCNN
2008
IEEE
15 years 11 months ago
Two-level clustering approach to training data instance selection: A case study for the steel industry
— Nowadays, huge amounts of information from different industrial processes are stored into databases and companies can improve their production efficiency by mining some new kn...
Heli Koskimäki, Ilmari Juutilainen, Perttu La...
120
Voted
CLEIEJ
2008
72views more  CLEIEJ 2008»
15 years 5 months ago
Measuring Contribution of HTML Features in Web Document Clustering
Documents in HTML format have many features to analyze, from the terms in special sections to the phrases that appear in the whole document. However, it is important to decide whi...
Esteban Meneses, Oldemar Rodríguez-Rojas