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ICDAR
2003
IEEE
13 years 11 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...
KDD
2005
ACM
163views Data Mining» more  KDD 2005»
14 years 6 months ago
Data Sparsity Issues in the Collaborative Filtering Framework
Abstract. With the amount of available information on the Web growing rapidly with each day, the need to automatically filter the information in order to ensure greater user effici...
Miha Grcar, Dunja Mladenic, Blaz Fortuna, Marko Gr...
SDM
2003
SIAM
184views Data Mining» more  SDM 2003»
13 years 7 months ago
Finding Clusters of Different Sizes, Shapes, and Densities in Noisy, High Dimensional Data
The problem of finding clusters in data is challenging when clusters are of widely differing sizes, densities and shapes, and when the data contains large amounts of noise and out...
Levent Ertöz, Michael Steinbach, Vipin Kumar
ICPR
2000
IEEE
14 years 6 months ago
Data Condensation in Large Databases by Incremental Learning with Support Vector Machines
An algorithmfor data condensation using support vector machines (SVM's)is presented. The algorithm extracts datapoints lying close to the class boundaries,whichform a much re...
Pabitra Mitra, C. A. Murthy, Sankar K. Pal
SIGIR
2008
ACM
13 years 5 months ago
Classifiers without borders: incorporating fielded text from neighboring web pages
Accurate web page classification often depends crucially on information gained from neighboring pages in the local web graph. Prior work has exploited the class labels of nearby p...
Xiaoguang Qi, Brian D. Davison