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Mining of Massive Datasets - Jure Leskovec

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371.94  Lei

sau 37194 de puncte. Detalii.

Livrare in 15 zile lucratoare

Cod: BRT9781108476348

An aparitie: 2020

Autor: Jure Leskovec

Categoria: Applications of computing

Editie: cartonata

Editura: CAMBRIDGE UNIVERSITY PRESS

Format: 253 x 178 x 28 mm

Limba: English

Nr. pagini: 565



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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.

Livrarea se face din stoc din depozitul de carte Libris, in zilele lucratoare. Transportul este gratuit prin curier rapid, oriunde in Romania, pentru orice comanda de minimum 75 de lei. Pentru orice solicitare apelati call center-ul Libris de luni pana vineri intre orele 8-20.


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