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Mining of Massive Datasets - Stanford University

MiningofMassiveDatasetsJure LeskovecStanford RajaramanMilliway LabsJeffrey D. UllmanStanford 2010, 2011, 2012, 2013, 2014 Anand Rajaraman, Jure Leskovec,and Jeffrey D. UllmaniiPrefaceThis book evolved from material developed over several years by Anand Raja-raman and Jeff Ullman for a one-quarter course at Stanford . The courseCS345A, titled Web Mining , was designed as an advanced graduate course,although it has become accessible and interesting to advanced Jure Leskovec joined the Stanford faculty, we reorganizedthe materialconsiderably. He introduced a new course CS224W on network analysis andadded material to CS345A, which was renumbered CS246.

also introduced a large-scale data-mining project course, CS341. The book now contains material taught in all three courses. What the Book Is About 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.

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