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 Oracle Database Performance and Scalability: A Quantitative Approach
This book stemmed from the author’s other book—Software Performance and Scalability: a Quantitative Approach, published by Wiley in 2009. That book helps
readers grasp the basic concepts, principles, methodologies, best practices, queueing theories, and profiling tools associated with optimizing software performance and... | | Integrating Microelectronics into Gas Distribution
This volume contains papers presented at the first and second IGT symposia on microelectronics in the gas
industry. The first was held November 18–20, 1985, in Orlando, Florida. The second symposium was held
September 8–10, 1986, in Fontana, Wisconsin.
The purpose of these symposia was to disseminate information on... | | |
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| | | | Grading Knowledge: Extracting Degree Information from Texts
If you are sitting in a basement room without a view — not to mention the
bars in front of the windows — and writing a book, then you better have
good company. I had the best company you could imagine. Waltraud Hiltl,
Katja Markert, Martin Romacker, Klemens Schnattinger, Andreas Klee and I
shared very little office... |
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| | | | Web Page Recommendation Models: Theory and Algorithms (Synthesis Lectures on Data Management)
One of the application areas of data mining is the World Wide Web (WWW or Web), which serves as a huge, widely distributed, global information service for every kind of information such as news, advertisements, consumer information, financial management, education, government, e-commerce, health services, and many other information services.... |
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| | Web Standards: Mastering HTML5, CSS3, and XML
Web Standards: Mastering HTML5, CSS3, and XML provides solutions to the most common website problems, and gives you a deep understanding of web standards and how they can be applied to improve your website. You will learn how to create fully standards-compliant websites and provide search engine-optimized Web documents with... | | Understanding Complex Datasets: Data Mining with Matrix Decompositions
Many data-mining algorithms were developed for the world of business, for
example for customer relationship management. The datasets in this environment,
although large, are simple in the sense that a customer either did or
did not buy three widgets, or did or did not fly from Chicago to Albuquerque.
In contrast,... |
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