Data Mining Algorithms In R
Publisher: Wikibooks 2010
In general terms, Data Mining comprises techniques and algorithms, for determining interesting patterns from large datasets. There are currently hundreds (or even more) algorithms that perform tasks such as frequent pattern mining, clustering, and classification, among others.
Home page url
Download or read it online for free here:
by C.J. Date, Hugh Darwen - Addison Wesley
This is a book on database management based on an earlier book by the same authors. It can be seen as an abstract blueprint for the design of a DBMS and the language interface to such a DBMS. It serves as a basis for a model of type inheritance.
by Adrienne Watt - BCcampus
The purpose of this text is to provide an open source textbook that covers most introductory database courses. This edition covers database systems and database design concepts. New to this edition are SQL info, additional examples, and exercises.
by J. M. Hellerstein, M. Stonebraker - UC Berkeley
These lecture notes provide students and professionals with a grounding in database research and a technical context for understanding recent innovations in the field. The readings included treat the most important issues in the database area.
by 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.