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APWEB
2006
Springer
14 years 28 days ago
Image Description Mining and Hierarchical Clustering on Data Records Using HR-Tree
Since we can hardly get semantics from the low-level features of the image, it is much more difficult to analyze the image than textual information on the Web. Traditionally, textu...
Congle Zhang, Sheng Huang, Gui-Rong Xue, Yong Yu
FLAIRS
2004
13 years 10 months ago
Mining On-line Sources for Definition Knowledge
Finding definitions in huge text collections is a challenging problem, not only because of the many ways in which definitions can be conveyed in natural language texts but also be...
Horacio Saggion, Robert J. Gaizauskas
CIDM
2007
IEEE
13 years 9 months ago
Detection of Unknown Computer Worms Activity Based on Computer Behavior using Data Mining
— Detecting unknown worms is a challenging task. Extant solutions, such as anti-virus tools, rely mainly on prior explicit knowledge of specific worm signatures. As a result, aft...
Robert Moskovitch, Ido Gus, Shay Pluderman, Dima S...
ICDM
2006
IEEE
109views Data Mining» more  ICDM 2006»
14 years 3 months ago
Star-Structured High-Order Heterogeneous Data Co-clustering Based on Consistent Information Theory
Heterogeneous object co-clustering has become an important research topic in data mining. In early years of this research, people mainly worked on two types of heterogeneous data ...
Bin Gao, Tie-Yan Liu, Wei-Ying Ma
ICDM
2006
IEEE
131views Data Mining» more  ICDM 2006»
14 years 3 months ago
Dimension Reduction for Supervised Ordering
Ordered lists of objects are widely used as representational forms. Such ordered objects include Web search results and best-seller lists. Techniques for processing such ordinal d...
Toshihiro Kamishima, Shotaro Akaho