@inproceedings{b32246b200394573a13a6758c07f1efa,
title = "Searching for meaningful feature interactions with backward-chaining rule induction",
abstract = "Exploring the vast number of possible feature interactions in domains such as gene expression microarray data is an onerous task. We propose Backward-Chaining Rule Induction (BCRI) as a semi-supervised mechanism for biasing the search for plausible feature interactions. BCRI adds to a relatively limited tool-chest of hypothesis generation software, and it can be viewed as an alternative to purely unsupervised association rule learning. We illustrate BCRI by using it to search for gene-to-gene causal mechanisms. Mapping hypothesized gene interactions against a domain theory of prior knowledge offers support and explanations for hypothesized interactions, and suggests gaps in the current domain theory, which induction might help fill.",
author = "Doug Fisher and Mary Edgerton and Lianhong Tang and Lewis Frey and Zhihua Chen",
year = "2005",
doi = "10.1007/11552253_9",
language = "English (US)",
isbn = "3540287957",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "86--96",
booktitle = "Advances in Intelligent Data Analysis VI - 6th International Symposium on Intelligent Data Analysis, IDA 2005, Proceedings",
note = "6th International Symposium on Intelligent Data Analysis, IDA 2005 ; Conference date: 08-09-2005 Through 10-09-2005",
}