Combining Data and Text Mining Techniques for Yeast Gene Regulation Prediction: A Case Study

In order to solve task 2 of the KDD Cup 2002, we exploited various available information sources. In particular, use of relational information describing the interactions among genes rmation automatically extracted from scientific abstracts improves the accuracy of our predictions. Keywords KDD Cup, propositionalization, text classification, information extraction, ROC analyses.

• Type: Journal
• Year: 2002
• Where: SIGKDD
• Authors: Mark-A. Krogel, Marcus Denecke, Marco Landwehr, Tobias Scheffer
• Keywords: Available Information Sources, KDD Cup, Keywords KDD Cup, SIGKDD 2002