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» Classification of Web Documents Using a Graph Model
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ICDAR
2003
IEEE
13 years 10 months ago
Classification of Web Documents Using a Graph Model
In this paper we describe work relating to classification of web documents using a graph-based model instead of the traditional vector-based model for document representation. We ...
Adam Schenker, Mark Last, Horst Bunke, Abraham Kan...
ER
1999
Springer
152views Database» more  ER 1999»
13 years 9 months ago
Semantically Accessing Documents Using Conceptual Model Descriptions
. When publishing documents on the web, the user needs to describe and classify her documents for the benefit of later retrieval and use. This paper presents an approach to semanti...
Terje Brasethvik, Jon Atle Gulla
CIKM
2009
Springer
13 years 11 months ago
Improving web page classification by label-propagation over click graphs
In this paper, we present a semi-supervised learning method for web page classification, leveraging click logs to augment training data by propagating class labels to unlabeled si...
Soo-Min Kim, Patrick Pantel, Lei Duan, Scott Gaffn...
ICDM
2002
IEEE
162views Data Mining» more  ICDM 2002»
13 years 9 months ago
Phrase-based Document Similarity Based on an Index Graph Model
Document clustering techniques mostly rely on single term analysis of the document data set, such as the Vector Space Model. To better capture the structure of documents, the unde...
Khaled M. Hammouda, Mohamed S. Kamel
AUSDM
2008
Springer
243views Data Mining» more  AUSDM 2008»
13 years 6 months ago
Structure-Based Document Model with Discrete Wavelet Transforms and Its Application to Document Classification
Term signal is an existing text representation that depicts a term as a vector of frequencies of occurrences in a number of user-defined partitions of a document. Although term si...
Supphachai Thaicharoen, Tom Altman, Krzysztof J. C...