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» Unsupervised Learning from Linked Documents
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COLING
2008
13 years 9 months ago
Looking for Trouble
This paper presents a method for mining potential troubles or obstacles related to the use of a given object. Some example instances of this relation are medicine, side effect and...
Stijn De Saeger, Kentaro Torisawa, Jun'ichi Kazama
SGAI
2004
Springer
14 years 1 months ago
Neighbourhood Exploitation in Hypertext Categorization
As the web expands exponentially, the need to put some order to its content becomes apparent. Hypertext categorization, that is the automatic classification of web documents into ...
Houda Benbrahim, Max Bramer
ICDM
2002
IEEE
138views Data Mining» more  ICDM 2002»
14 years 28 days ago
Extraction Techniques for Mining Services from Web Sources
The Web has established itself as the dominant medium for doing electronic commerce. Consequently the number of service providers, both large and small, advertising their services...
Hasan Davulcu, Saikat Mukherjee, I. V. Ramakrishna...
IV
2003
IEEE
87views Visualization» more  IV 2003»
14 years 1 months ago
Rendering recognizably unique textures
We present a perceptually designed hardwareaccelerated algorithm for generating unique background textures for distinguishing documents. To be recognizable, the texture should pro...
Janne V. Kujala, Tuomas J. Lukka
KDD
2009
ACM
200views Data Mining» more  KDD 2009»
14 years 2 months ago
Visual analysis of documents with semantic graphs
In this paper, we present a technique for visual analysis of documents based on the semantic representation of text in the form of a directed graph, referred to as semantic graph....
Delia Rusu, Blaz Fortuna, Dunja Mladenic, Marko Gr...