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Searching Frequent Pattern and Prex Trees for Higher Order Rules
Liang, P., Roddick, J.F. and de Vries, D.
Since the search for rules that can inform business
decision making is the ultimate goal of data mining
technology, problems such as the interpretation of interestingness for discovered rules is an important is-
sue. However, the search for rules that adhere to a
user's definition of interesting remains somewhat elusive, in part because rules are commonly supplied in
a low, instance-level format.
In this paper we argue that rules with more useable
semantics can be obtained by searching for patterns
in the intermediate data structures such as frequent
pattern or prex trees. This paper discusses this approach and present a proof-of-concept system, Horace,
that shows that the approach is both useable and efficient. |
Cite as: Liang, P., Roddick, J.F. and de Vries, D. (2013). Searching Frequent Pattern and Prex Trees for Higher Order Rules. In Proc. Eleventh Australasian Data Mining Conference (AusDM13) Canberra, Australia. CRPIT, 146. Christen, P., Kennedy, P., Liu, L., Ong, K.L., Stranieri, A. and Zhao, Y. Eds., ACS. 129-137 |
(from crpit.com)
(local if available)
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