A method for directed mining of a heterogeneous dataset with a computer comprising: populating a rule base with known rules, wherein each rule has a context and a situation; populating a case base with known cases, wherein each case has a context and a situation, and wherein the case base is partitioned from the rule base; ascribing a natural language semantics to predicates of the known cases and rules; randomly transforming the known rules and the known cases to form new rules by extracting a maximum number of common predicates; segmenting the rules and the cases on the basis of shared predicates without making distinction between context and situation predicates; abducing new knowledge from the dataset by fuzzily matching the context of a new rule to a situation the new rule does not cover; and issuing a query to a user to supply missing predicates of the fuzzy match.