"Internetstatistik" . . "Análisis de datos." . . "Mineria de dades." . . "Exploration de données." . . "Exploration de données (Informatique)" . . "Algorithmes." . . "Cambridge University Press." . . "Archivi di dati e conoscenza." . . "Archivi di dati - Gestione - Metodi matematici." . . "Computer science." . . "Eksploracja danych." . . "Analisi dei dati." . . "Archivi di dati - Informazioni - Recupero." . . "Database management." . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . "Electronic books" . "Electronic books"@en . . . . . . . . "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 map-reduce 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 second edition includes new and extended coverage on social networks, machine learning and dimensionality reduction. It includes a range of over 150 challenging exercises. --" . "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 map-reduce 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 second edition includes new and extended coverage on social networks, machine learning and dimensionality reduction. It includes a range of over 150 challenging exercises. --"@en . . . . . . . . . "Mining of massive datasets"@en . "Mining of massive datasets" . . . . . . . "Livres électroniques" . . . . . "Mining of Massive Datasets" . . "Mining of Massive Datasets"@en . . . . . . . "Essential for students and practitioners alike, this book focuses on practical algorithms for mining data from even the largest datasets."@en . . . . . . . . . . . . "Computers Database Management Data Mining." . . "COMPUTERS / Database Management / Data Mining" . "Kvantitative metoder" . . "Datamining." . . "Inteligenţă artificială." . . . . "Données volumineuses." . . "Data Mining." . . "Data mining." . "Data mining" . "Big data." . . "Big data" .