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Talks and Poster Presentations (with Proceedings-Entry):

I. Feinerer, A. Karatzoglou:
"Fast text mining using kernels in R";
Talk: COMPSTAT 2008 International Conference on Computational Statistics, Porto, Portugal; 2008-08-24 - 2008-08-29; in: "COMPSTAT 2008-Proceedings in Computational Statistics", (2008), ISBN: 978-3-7908-2083-6; 8 pages.



English abstract:
Recent advances in the field of kernel-based machine learning methods enable the fast processing of text using string kernels which are built with the use of suffix arrays. kernlab provides both kernel methods infrastructure and a large collection of already implemented algorithms and includes an implementation of suffix array based string kernels. Along with the use of tm these packages provide R with functionality in processing, visualizing and grouping large collections of text data using kernel methods. We focus on the performance of various types of string kernels at these tasks.

Keywords:
string kernels, text mining, clustering, R


Electronic version of the publication:
http://www.springer.com/statistics/computational/book/978-3-7908-2083-6


Created from the Publication Database of the Vienna University of Technology.