Mining of Massive Datasets
by Anand Rajaraman, Jeffrey D. Ullman
Publisher: Stanford University 2010
Number of pages: 340
Description:
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.
Download or read it online for free here:
Download link
(2MB, PDF)
Similar books
Database Explorationsby C.J. Date, Hugh Darwen
The database field is full of important problems still to be solved and interesting issues still to be examined -- and some of those problems and issues are explored in this book. It reports on some of our most recent investigations in this field.
(8811 views)
Multi-Relational Data Miningby Arno Jan Knobbe - IOS Press
This thesis is concerned with Data Mining: extracting useful insights from large collections of data. With the increased possibilities in modern society for companies and institutions to gather data, this subject has become of increasing importance.
(17548 views)
Temporal Database Managementby Christian S. Jensen - Aalborg University
Topics covered: the semantics of temporal data, the design of data models and languages for temporal data, the design of databases expressed in terms of temporal data models as well as temporally enhanced design of conventional databases.
(9900 views)
The Relational Model for Database Managementby E. F. Codd - Addison-Wesley
Written by the originator of the relational model, the book covers the practical aspects of the design of relational databases. The author defines twelve rules that database management systems need to follow in order to be described as relational.
(22311 views)