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Given Perl s natural fit for web applications development, it s no surprise that Perl is also a natural choice for web services development. It s the most popular web programming language, with strong implementations of both SOAP and XML-RPC, the leading ways to distribute applications using web services. But books on web services focus on writing these applications in Java or Visual Basic, leaving Perl programmers with few resources to get them started. "Programming Web Services with Perl" changes that, bringing Perl users all the information they need to create web services using their favorite language. -Given Perl s natural fit for web applications development, it s no surprise that Perl is also a natural choice for web services development. It s the most popular web programming language, with strong implementations of both SOAP and XML-RPC, the leading ways to distribute applications using web services. But books on web services focus on writing these applications in Java or Visua

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本书考察数据挖掘的概念和技术。数据挖掘是数据和信息系统及其应用的一个有希望的、欣欣向荣的学科前沿。数据挖掘通常又称为数据中的知识发现（KDD），是自动或方便地提取代表知识的模式；这些模式隐藏或记录在大型数据库、数据仓库、Web、其他大量信息库或数据流中。 -Book study the concept of data mining and technology. Data mining is the data and information systems and their applications a promising and flourishing frontier disciplines. Data mining are usually referred to as Knowledge Discovery in Data (KDD), is automatic or easy to extract the representative of the knowledge model these models hide or recorded in large databases, data warehouse, Web, other substantial information database or data stream.

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Covering pattern classification methods, Combining Classifiers: Ideas and Methods focuses on the important and widely studied issue of how to combine several classifiers together in order to achieve improved recognition performance. It is one of the first books to provide unified, coherent, and expansive coverage of the topic and as such will be welcomed by those involved in the area. With case studies that bring the text alive and demonstrate real-world applications it is destined to become essential reading.-Covering pattern classification methods, Combining Classifiers: Ideas and Methods focuses on the important and widely studied issue of how to combine several classifiers together in order to achieve improved recognition performance. It is one of the first books to provide unified, coherent, and expansive coverage of the topic and as such will be welcomed by those involved in the area. With case studies that bring the text alive and demonstrate real-world applications it is dest