Want to tap the power behind search rankings, product recommendations, social bookmarking, and online matchmaking? This fascinating book demonstrates how you can build Web 2.0 applications to mine the enormous amount of data created by people on the Internet. With the sophisticated algorithms in this book, you can write smart programs to...

This book gives you an excellent starting point and goes straight to the heart of developing web applications with Node.js. You will go from a rudimentary...

In Hacker’s Delight, Second Edition, Hank Warren once again compiles an irresistible collection of programming hacks: timesaving techniques, algorithms, and tricks that help programmers build more elegant and efficient software, while also gaining deeper insights into their craft. Warren’s hacks...

I became interested in ML programming when I taught CS109, the introduc- tory Computer Science Foundations course at Stanford, starting in 1991. ML was used by several of the instructors of this course, including Stu Reges and Mike Cleron, to introduce concepts such as functional programming and type systems. It was also used for the...

Despite growing interest, basic information on methods and models for mathematically analyzing algorithms has rarely been directly accessible to practitioners, researchers, or students. An Introduction to the Analysis of Algorithms, Second Edition, organizes and presents that knowledge, fully...

Transform data mining model information into actionable business intelligence using the Data Mining Extensions (DMX) language. Practical DMX Queries for Microsoft SQL Server Analysis Services 2008 contains more than 250 downloadable DMX queries you can use to extract and visualize...

• Understand the different phases of data mining, along with the tools used at each stage
• Explore the different data mining algorithms in depth
• Become...