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» Graph Mining based on a Data Partitioning Approach
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101
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PKDD
2001
Springer
120views Data Mining» more  PKDD 2001»
15 years 5 months ago
Text Categorization and Semantic Browsing with Self-Organizing Maps on Non-euclidean Spaces
This paper introduces a new type of Self-Organizing Map (SOM) for Text Categorization and Semantic Browsing. We propose a “hyperbolic SOM” (HSOM) based on a regular tesselation...
Jörg Ontrup, Helge Ritter
170
Voted
SSD
1999
Springer
197views Database» more  SSD 1999»
15 years 4 months ago
3D Shape Histograms for Similarity Search and Classification in Spatial Databases
Classification is one of the basic tasks of data mining in modern database applications including molecular biology, astronomy, mechanical engineering, medical imaging or meteorolo...
Mihael Ankerst, Gabi Kastenmüller, Hans-Peter...
96
Voted
AUSDM
2007
Springer
104views Data Mining» more  AUSDM 2007»
15 years 4 months ago
Effectiveness of Using Quantified Intermarket Influence for Predicting Trading Signals of Stock Markets
This paper investigates the use of influence from foreign stock markets (intermarket influence) to predict the trading signals, buy, hold and sell, of the of a given stock market....
Chandima Tilakaratne, Musa A. Mammadov, Sidney A. ...
110
Voted
AUSDM
2008
Springer
230views Data Mining» more  AUSDM 2008»
15 years 2 months ago
Combining Structure and Content Similarities for XML Document Clustering
This paper proposes a clustering approach that explores both the content and the structure of XML documents for determining similarity among them. Assuming that the content and th...
Tien Tran, Richi Nayak, Peter Bruza
ICDM
2010
IEEE
167views Data Mining» more  ICDM 2010»
14 years 10 months ago
Averaged Stochastic Gradient Descent with Feedback: An Accurate, Robust, and Fast Training Method
On large datasets, the popular training approach has been stochastic gradient descent (SGD). This paper proposes a modification of SGD, called averaged SGD with feedback (ASF), tha...
Xu Sun, Hisashi Kashima, Takuya Matsuzaki, Naonori...