Data Mining Desktop Survival Guide
by Graham Williams
Publisher: Togaware Pty Ltd 2004
Data mining is about building models from data. We build models to gain insights into the world and how the world works. A data miner, in building models, deploys many different data analysis and model building techniques. Our choices depend on the business problems to be solved. Although data mining is not the only approach it is becoming very widely used because it is well suited to the data environments we find in today's enterprises.
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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.
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This book focuses on MapReduce algorithm design, with an emphasis on text processing algorithms common in natural language processing, information retrieval, and machine learning. We introduce the notion of MapReduce design patterns.
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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.
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