Database design with UML and SQL
by Tom Jewett
This text is a teaching resource for an introductory database class at California State University Long Beach, Department of Computer Engineering and Computer Science. It is also designed to be used as an individual self-study tutorial.
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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 Hugh Darwen - BookBoon
This book introduces the theory of relational databases, focusing on the application of that theory to the design of computer languages that properly embrace it. The book covers different topics: Types, Variables, Operators, Relational Algebra, etc.
- National Academies Press
Using big data analytics to identify complex patterns hidden inside volumes of data that have never been combined could accelerate the rate of scientific discovery and lead to the development of beneficial technologies and products.
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This book provides an overview of metadata, its types, roles, and characteristics; a discussion of metadata as it relates to resources on the Web; a description of methods, tools, standards, and protocols used to publish digital collections; etc.