Название: Mining of Massive Datasets
Автор: Leskovec J., Rajaraman A., Ullman J.D.
Издательство: Stanford University
Год: 2019
Формат: pdf
Страниц: 603
Для сайта: LitMy Размер: 18 mb
Язык: английский
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.