Beschreibung Mining of Massive Datasets. Written by leading authorities in database and Web technologies, this book is essential reading for students and practitioners alike. The popularity of the Web and Internet commerce provides many extremely large datasets from which information can be gleaned by data mining. This book focuses on practical algorithms that have been used to solve key problems in data mining and can be applied successfully to even the largest datasets. It begins with a discussion of the MapReduce framework, an important tool for parallelizing algorithms automatically. The authors explain the tricks of locality-sensitive hashing and stream-processing algorithms for mining data that arrives too fast for exhaustive processing. Other chapters cover the PageRank idea and related tricks for organizing the Web, the problems of finding frequent itemsets, and clustering. This third edition includes new and extended coverage on decision trees, deep learning, and mining social-network graphs.
Mining of Massive Datasets (eBook, PDF) von Jure Leskovec ~ Written by leading authorities in database and Web technologies, this book is essential reading for students and practitioners alike. The popularity of the Web and Internet commerce provides many extremely large datasets from which information can be gleaned by data mining.
Mining of Massive Datasets: : Leskovec, Jure ~ Mining of Massive Datasets (Englisch) Gebundene Ausgabe – 9. Januar 2020 von Jure Leskovec (Autor), Anand Rajaraman (Autor), Jeffrey David Ullman (Autor) & Alle 2 Formate und Ausgaben anzeigen Andere Formate und Ausgaben ausblenden. Preis Neu ab Gebraucht ab Kindle "Bitte wiederholen" 43,66 € — — Gebundenes Buch "Bitte wiederholen" 56,99 € 56,99 € 73,16 € Kindle 43,66 € Lesen .
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Mining of Massive Datasets ~ Download slides (PPT) in French: Chapter 4, Chapter 5, Chapter 8, Chapter 9, Chapter 10. Courtesy of Richard Khoury. . CS246: Mining Massive Datasets is graduate level course that discusses data mining and machine learning algorithms for analyzing very large amounts of data. The emphasis is on Map Reduce as a tool for creating parallel algorithms that can process very large amounts of data .
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Book: Mining of Massive Datasets (free download) ~ Book: Mining of Massive Datasets (free download) 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 .
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Mining of Massive Datasets – Jure Leskovec (2020 ~ Englisches Buch: Mining of Massive Datasets - von Jure Leskovec, Anand Rajaraman, Jeffrey David Ullman - (Cambridge University Press) - EAN: 9781108476348