Research Article
Information-Balance-Aware Approximated Summarization of Data Provenance
Algorithm 1
Information-Balance-Aware Approximated Provenance Summarization Algorithm (IB-PROX).
| Require: (original provenance), (annotations in ), (combiner | | function) and (VAL-FUNC function), the weight for distance, | | size, definition and weight of IBI score, selection size , size bound | | TSIZE, distance bound TDIST | | Returns: Summarized expression | | (1) Initialize as | | (2) While > TSIZE or ) < TDIST Do | | (3) candidateSet = | | (4) For every Do | | (5) | | (6) Add to candidate set | | (7) End For | | (8) selectedSet = from candidateSet with top percent size- | | distance performance | | (9) For every in selectedSet Do | | (10) If is optimal Then | | (11) | | (12) | | (13) End if | | (14) End For | | (15) End While | | (17) If > TDIST Then | | (17) return | | (18) End If | | (19) return |
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