Mining of massive datasets
This book focuses on practical algorithms that have been used to solve key problems in data mining and which can be used on even the largest datasets. It begins with a discussion of the map-reduce framework, an important tool for parallelizing algorithms automatically.
Сохранить в:
| Главный автор: | Leskovec, Jurij |
|---|---|
| Формат: | |
| Язык: | Undetermined |
| Опубликовано: |
Cambridge
Cambridge University Press
2014
|
| Предметы: | |
| Метки: |
Добавить метку
Нет меток, Требуется 1-ая метка записи!
|
| Thư viện lưu trữ: | Trung tâm Học liệu Trường Đại học Cần Thơ |
|---|
Схожие документы
-
Mining of Massive Datasets
по: Leskovec , Jure
Опубликовано: (2014) -
Mining multimedia and complex data :
по: Zaïane, Osmar
Опубликовано: (2003) -
Principles of data mining and knowledge discovery : Second European Symposium, PKDD '98, Nantes, France, September 23-26, 1998 : proceedings /
Опубликовано: (1998) -
Data mining :
по: Han, Jiawei
Опубликовано: (2001) -
Data mining :
по: Lefébure, René
Опубликовано: (2001)