Feature engineering for a gene regulation prediction task
ACM SIGKDD Explorations Newsletter
Biological applications of multi-relational data mining
ACM SIGKDD Explorations Newsletter
Extreme re-balancing for SVMs: a case study
ACM SIGKDD Explorations Newsletter - Special issue on learning from imbalanced datasets
Predicting the product purchase patterns of corporate customers
Proceedings of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining
Utilizing hierarchical feature domain values for prediction
Data & Knowledge Engineering
CARIBIAM: Constrained Association Rules using Interactive Biological IncrementAl Mining
International Journal of Bioinformatics Research and Applications
An analysis of the anti-learning phenomenon for the class symmetric polyhedron
ALT'05 Proceedings of the 16th international conference on Algorithmic Learning Theory
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This article describes Task 2 of the KDD Cup 2002 datamining competition. The task involved predicting whether deletions of individual genes in a yeast genome would affect a particular signaling pathway in the cell. With its rich data sources and abundance of missing information, the task is representative of data mining problems in genomics and proved to be quite challenging.