Book: Mining of Massive Datasets (free download)

Anand Rajaraman


Jeffrey Ullman

This book evolved from material developed over several years by Anand Rajaraman and Jeff Ullman for a one-quarter course at Stanford. The course CS345A, titled "Web Mining," was designed as an advanced graduate course, although it has become accessible and interesting to advanced undergraduates.

At the highest level of description, this book is about data mining. However, it focuses on data mining of very large amounts of data, that is, data so large it does not fit in main memory. Because of the emphasis on size, many of our examples are about the Web or data derived from the Web. Further, the book takes an algorithmic point of view: data mining is about applying algorithms to data, rather than using data to "train" a machine-learning engine of some sort.

Download Mining of Massive Datasets, (PDF, 340 pages, 2MB)

You can find materials from past offerings of CS345A at:

infolab.stanford.edu/~ullman/mining/mining.html

There, you will find slides, homework assignments, project requirements, and

Book: Mining of Massive Datasets (free download)

Backlink: http://www.kdnuggets.com/2010/12/book-mining-massive-datasets.html

Wikileaks' massive cable leak expected today: Wikileaks.org "under attack," Der Spiegel out early

By various reports, today at 430pm ET is the expected go-live point for Wikileaks' latest coordinated "radical transparency" dump: some 250,000 US State Department diplomatic cables, with partnered coverage expected again, as with prior releases, in Der Spiegel, The New York Times, and the Guardian. This time, El Pais and Le Monde are part of the early access club, according to a Wikileaks tweet.

Wikileaks' massive cable leak expected today: Wikileaks.org "under attack," Der Spiegel out early

Backlink: http://feeds.boingboing.net/~r/boingboing/iBag/~3/nKbHFIBCcD0/wikileaks-massive-le.html