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PKDD
2004
Springer
155views Data Mining» more  PKDD 2004»
15 years 5 months ago
Ensemble Feature Ranking
A crucial issue for Machine Learning and Data Mining is Feature Selection, selecting the relevant features in order to focus the learning search. A relaxed setting for Feature Sele...
Kees Jong, Jérémie Mary, Antoine Cor...
ICDM
2003
IEEE
138views Data Mining» more  ICDM 2003»
15 years 5 months ago
Ontologies Improve Text Document Clustering
Text document clustering plays an important role in providing intuitive navigation and browsing mechanisms by organizing large sets of documents into a small number of meaningful ...
Andreas Hotho, Steffen Staab, Gerd Stumme
ICDM
2002
IEEE
139views Data Mining» more  ICDM 2002»
15 years 4 months ago
An Incremental Approach to Building a Cluster Hierarchy
In this paper we present a novel Incremental Hierarchical Clustering (IHC) algorithm. Our approach aims to construct a hierarchy that satisfies the homogeneity and the monotonici...
Dwi H. Widyantoro, Thomas R. Ioerger, John Yen
EMNLP
2010
14 years 10 months ago
Improving Gender Classification of Blog Authors
The problem of automatically classifying the gender of a blog author has important applications in many commercial domains. Existing systems mainly use features such as words, wor...
Arjun Mukherjee, Bing Liu
TKDE
2010
137views more  TKDE 2010»
14 years 10 months ago
A Survey on Transfer Learning
—A major assumption in many machine learning and data mining algorithms is that the training and future data must be in the same feature space and have the same distribution. How...
Sinno Jialin Pan, Qiang Yang