Mining of Massive Datasets – eBook

Jeff Dalton, Jeff’s Search Engine Caffè reports a new data mining book by Anand Rajaraman and Jeffrey D. Ullman (yes, that Jeffrey D. Ullman, think “dragon book.”).

A free eBook no less.

Read Jeff’s post on your way to get a copy.

Look for more comments as I read through it.

Has anyone written a comparison of the recent search engine titles? Just curious.

Update: New version out in hard copy and e-book remains available. See: Mining Massive Data Sets – Update

This entry was posted on Thursday, December 9th, 2010 at 11:48 am and is filed under Clustering, Data Mining, Indexing, Machine Learning, Search Engines, Searching, String Matching. 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.

2 Responses to “Mining of Massive Datasets – eBook”

Scaling Jaccard Distance for Document Deduplication: Shingling, MinHash and Locality-Sensitive Hashing – Post « Another Word For It says:

January 13, 2011 at 5:42 am

[...] Carpenter of Ling-Pipe Blog points out the treatment of Jaccard distance in Mining Massive Datasets by Anand Rajaraman and Jeffrey D. [...]
Mining Massive Data Sets – Update « Another Word For It says:

January 3, 2012 at 5:03 pm

[...] Update of Mining of Massive Datasets – eBook. [...]