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....

"Kernel Based Algorithms for Mining Huge Data Sets" is the first book treating the fields of supervised, semi-supervised and unsupervised machine learning collectively. The book presents both the theory and the algorithms for mining huge data sets by using support vector machines (SVMs) in an iterative way. It demonstrates how kernel...

Philanthropy is in a renewed golden age. People want to help, to make a difference, to ensure that the things they value will flourish. In order to capitalize on potential prospects, many nonprofit professionals focus solely on the research of, or communication with,...

This intentionally terse recipe collection provides you with 21 easily adaptable Twitter mining recipes and is a spin-off of Mining the Social Web (O'Reilly), a more comprehensive work that covers a much larger cross-section of the social web and related analysis. Think of this ebook as the jetpack that you can strap onto that great...

Data mining is well on its way to becoming a recognized discipline in the overlapping areas of IT, statistics, machine learning, and AI. Practical Data Mining for Business presents a user-friendly approach to data mining methods, covering the typical uses to which it is applied. The methodology is complemented by case studies to create...

Web Service Mining: Application to Discoveries of Biological Pathways presents the major issues and solutions to mining services on the Web. This book focuses specifically on a reference framework for Web service mining that is inspired by molecular recognition and the drug discovery process; known as a molecular-based approach. Web Service...

Artificial Intelligence is often perceived...