Scaling Jaccard Distance for Document Deduplication: Shingling, MinHash and Locality-Sensitive Hashing

Scaling Jaccard Distance for Document Deduplication: Shingling, MinHash and Locality-Sensitive Hashing – Post

Bob Carpenter of Ling-Pipe Blog points out the treatment of Jaccard distance in Mining Massive Datasets by Anand Rajaraman and Jeffrey D. Ullman.

Worth a close look.

This entry was posted on Thursday, January 13th, 2011 at 5:42 am and is filed under Data Mining, Similarity. You can follow any responses to this entry through the RSS 2.0 feed. Responses are currently closed, but you can trackback from your own site.

One Response to “Scaling Jaccard Distance for Document Deduplication: Shingling, MinHash and Locality-Sensitive Hashing – Post”

Document Indexing – Wrong Level? « Another Word For It says:

January 13, 2011 at 8:17 am

[...] Another Word For It Patrick Durusau on Topic Maps and Semantic Diversity « Scaling Jaccard Distance for Document Deduplication: Shingling, MinHash and Locality-Sensitive Hashi… [...]