Optimized Provenance Reconstruction using Genetic Algorithm

October 19, 2016
2:00 pm - 5:30 pm
Hall C

Track: General
Type: Posters
Level: All

Provenance Reconstruction techniques attempt to recover provenance of data with partial or null provenance. The project uses a hybrid of topic modeling, and genetic algorithm to recover provenance. In addition, the project introduces a novel approach; statistical re-clustering to boost performance. The project was evaluated on various datasets and the results prove the technique effective.


, Research Student, Provenance and Traceability Research Group, University of Washington Bothell