Readings in Database Systems
by J. M. Hellerstein, M. Stonebraker
Publisher: UC Berkeley 1999
Lessons from database research have been applied in academic fields ranging from bioinformatics to next-generation Internet architecture and in industrial uses including Web-based e-commerce and search engines. This text provides both students and professionals with a grounding in database research and a technical context for understanding recent innovations in the field.
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Data mining comprises techniques and algorithms, for determining interesting patterns from large datasets. There are currently hundreds algorithms that perform tasks such as frequent pattern mining, clustering, and classification, among others.
by Ron Zacharski - GuideToDatamining.com
Before you is a tool for learning basic data mining techniques. If you are a programmer interested in learning a bit about data mining you might be interested in a beginner's hands-on guide as a first step. That's what this book provides.
by Ronald Bourret
This paper gives a high-level overview of how to use XML with databases. It describes how the differences between data-centric and document-centric documents affect their usage with databases and how XML is commonly used with relational databases.
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.