Itemset size-sensitive interestingness measures for association rule mining and link prediction
Doctor of Philosophy === Department of Computing and Information Sciences === William H. Hsu === Association rule learning is a data mining technique that can capture relationships between pairs of entities in different domains. The goal of this research is to discover factors from data that can imp...
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| Language: | en_US |
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Kansas State University
2009
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| Online Access: | http://hdl.handle.net/2097/1245 |