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» Graph Mining based on a Data Partitioning Approach
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IJCAI
2007
15 years 2 months ago
A Subspace Kernel for Nonlinear Feature Extraction
Kernel based nonlinear Feature Extraction (KFE) or dimensionality reduction is a widely used pre-processing step in pattern classification and data mining tasks. Given a positive...
Mingrui Wu, Jason D. R. Farquhar
123
Voted
CIKM
2011
Springer
14 years 17 days ago
Semi-supervised multi-task learning of structured prediction models for web information extraction
Extracting information from web pages is an important problem; it has several applications such as providing improved search results and construction of databases to serve user qu...
Paramveer S. Dhillon, Sundararajan Sellamanickam, ...
94
Voted
ANCS
2006
ACM
15 years 4 months ago
Packet classification using coarse-grained tuple spaces
While the problem of high performance packet classification has received a great deal of attention in recent years, the research community has yet to develop algorithmic methods t...
Haoyu Song, Jonathan S. Turner, Sarang Dharmapurik...
116
Voted
SEMWEB
2009
Springer
15 years 7 months ago
XLWrap - Querying and Integrating Arbitrary Spreadsheets with SPARQL
In this paper a novel approach is presented for generating RDF graphs of arbitrary complexity from various spreadsheet layouts. Currently, none of the available spreadsheet-to-RDF ...
Andreas Langegger, Wolfram Wöß
90
Voted
FASE
2007
Springer
15 years 6 months ago
Information Preserving Bidirectional Model Transformations
Abstract. Within model-driven software development, model transformation has become a key activity. It refers to a variety of operations modifying a model for various purposes such...
Hartmut Ehrig, Karsten Ehrig, Claudia Ermel, Frank...