document: Mining unexpected rules by pushing user dynamics Unexpected rules are interesting because they are either previously unknown or deviate from what prior user knowledge would suggest . In this paper , we study three important issues that have been previously ignored in mining unexpected rules . First , the unexpectedness of a rule depends on how the user prefers to apply the prior knowledge to a given scenario , in addition to the knowledge itself . Second , the prior knowledge should be considered right from the start to focus the search on unexpected rules . Third , the unexpectedness of a rule depends on what other rules the user has seen so far . Thus , only rules that remain unexpected given what the user has seen should be considered interesting . We develop an approach that addresses all three problems above and evaluate it by means of experiments focusing on finding interesting rules .
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