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» Learning Classifiers from Semantically Heterogeneous Data
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SOCIALCOM
2010
13 years 6 months ago
Using Text Analysis to Understand the Structure and Dynamics of the World Wide Web as a Multi-Relational Graph
A representation of the World Wide Web as a directed graph, with vertices representing web pages and edges representing hypertext links, underpins the algorithms used by web search...
Harish Sethu, Alexander Yates
SMC
2007
IEEE
130views Control Systems» more  SMC 2007»
14 years 3 months ago
A flow based approach for SSH traffic detection
— The basic objective of this work is to assess the utility of two supervised learning algorithms AdaBoost and RIPPER for classifying SSH traffic from log files without using f...
Riyad Alshammari, A. Nur Zincir-Heywood
CBMS
2007
IEEE
14 years 3 months ago
Multifaceted Hyperimage-Based Organization and Interaction with Bio-Medical Images
The abundance of complex media-rich information in state-of-the-art bio-medical sciences underlines the importance of paradigms for organizing, searching, browsing, and assimilati...
Rahul Singh, Pierre-Yves Corlobe
SDM
2011
SIAM
269views Data Mining» more  SDM 2011»
12 years 11 months ago
Semi-Supervised Convolution Graph Kernels for Relation Extraction
Extracting semantic relations between entities is an important step towards automatic text understanding. In this paper, we propose a novel Semi-supervised Convolution Graph Kerne...
Xia Ning, Yanjun Qi
KDD
2005
ACM
218views Data Mining» more  KDD 2005»
14 years 9 months ago
A maximum entropy web recommendation system: combining collaborative and content features
Web users display their preferences implicitly by navigating through a sequence of pages or by providing numeric ratings to some items. Web usage mining techniques are used to ext...
Xin Jin, Yanzan Zhou, Bamshad Mobasher