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A Fast Minimal Infrequent Itemset Mining Algorithm
- Publication Year :
- 2014
-
Abstract
- A novel fast algorithm for finding quasi identifiers in large datasets is presented. Performance measurements on a broad range of datasets demonstrate substantial reductions in run-time relative to the state of the art and the scalability of the algorithm to realistically-sized datasets up to several million records.
- Subjects :
- Computer Science - Databases
Subjects
Details
- Database :
- arXiv
- Publication Type :
- Report
- Accession number :
- edsarx.1403.6985
- Document Type :
- Working Paper