This book was developed over several years teaching a course on Web Mining at Stanford by A. Rajaraman (Kosmix) and J. Ullman (Stanford),
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
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