Data Mining and Text Mining for Bioinformatics European Workshop 2003

This page contains the papers in pdf format presented at the European Workshop on Data Mining and Text Mining for Bioinformatics, held at the European Conference on Machine Learning and the European Conference on Principles and Practice of Knowledge Discovery in Databases, in Dubrovnik, Croatia, on September 22, 2003.

Table of Contents
(downloadable pdf files or single combined pdf file)

* Preface and Invited Talks by Luc Dehaspe, Udo Hahn, and Steven Barrett
* Francisco Couto, Mario Silva, and Pedro Coutinho: “Improving Information Extraction through Biological Correlation”
* Thanh-Nghi Do and François Poulet : “Incremental SVM and Visualization Tools for Biomedical Data Mining”
* Lukas Faulstich, Peter Stadler, Caroline Thurner, and Christina Witwer: “litsift: Automated Text Categorization in Bibliographic Search”
* Adam Kowalczyk and Bhavani Raskutti: “Fringe SVM Settings and Aggressive Feature Reduction”
* Simon Lin, Sandip Patel, Andrew Duncan, and Linda Goodwin: “Using Decision Trees and Support Vector Machines to Classify Genes by Names”
* Michael Schroeder and Cecilia Eyre: “Visualization and Analysis of Bibliographic Networks in the Biomedical Literature: A Case Study”
* Alexander Seewald: “Towards Recognizing Domain and Species from MEDLINE Publications”
* Alexander Seewald: “Evaluating Protein Name Recognition: An Automatic Approach”
* ·pela Vintar, Ljupão Todorovski, Daniel Sonntag, Paul Buitelaar: “Evaluating Context Features for Medical Relation Mining”
* Larry Yu, Fu-lai Chung, Stephen Chan: „Emerging Pattern Based Projected Clustering for Gene Expression Data”

Archived page

Last update 28-Feb-2005, Rating n/a of 0 votes.