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» Exploiting Dataset Similarity for Distributed Mining
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IPPS
2000
IEEE
13 years 9 months ago
Exploiting Dataset Similarity for Distributed Mining
Srinivasan Parthasarathy, Mitsunori Ogihara
SDM
2008
SIAM
197views Data Mining» more  SDM 2008»
13 years 6 months ago
A general framework for estimating similarity of datasets and decision trees: exploring semantic similarity of decision trees
Decision trees are among the most popular pattern types in data mining due to their intuitive representation. However, little attention has been given on the definition of measure...
Irene Ntoutsi, Alexandros Kalousis, Yannis Theodor...
COLING
2008
13 years 6 months ago
Good Neighbors Make Good Senses: Exploiting Distributional Similarity for Unsupervised WSD
We present an automatic method for senselabeling of text in an unsupervised manner. The method makes use of distributionally similar words to derive an automatically labeled train...
Samuel Brody, Mirella Lapata
IPPS
2003
IEEE
13 years 10 months ago
A Compilation Framework for Distributed Memory Parallelization of Data Mining Algorithms
With the availability of large datasets in a variety of scientific and commercial domains, data mining has emerged as an important area within the last decade. Data mining techni...
Xiaogang Li, Ruoming Jin, Gagan Agrawal
ICDM
2010
IEEE
147views Data Mining» more  ICDM 2010»
13 years 2 months ago
Location and Scatter Matching for Dataset Shift in Text Mining
Dataset shift from the training data in a source domain to the data in a target domain poses a great challenge for many statistical learning methods. Most algorithms can be viewed ...
Bo Chen, Wai Lam, Ivor W. Tsang, Tak-Lam Wong