This book focuses on a framework for web service mining that is inspired by molecular recognition and the drug discovery process. Known as a molecular based approach, the concept provides performance benchmarks for assessing web service mining algorithms.
This book examines the techniques and applications involved in Web mining, Web personalization and recommendation and Web community analysis. It presents in systematic detail the principles, developed algorithms, and research methodologies in these areas.
This book details how to design a Web Dynpro component, the data binding and interface methods, and the view controller methods. It also describes other SAP NetWeaver Elements and the integration of the Web Dynpro Application into the SAP NetWeaver Portal.
This book jumps directly to the 'good stuff,' allowing readers to quickly start writing real applications using JSP, JavaBeans, Annotations, JSTL, Java 1.5, Hibernate, Apache Velocity and Tomcat Written for novice developers, it provides an introductory course in web development.
This is the first book to provide such a comprehensive text on Web data mining. The book brings together all the essential concepts and algorithms from related areas such as data mining, machine learning, and text processing to form an authoritative and coherent text.
Now in its second, updated edition, this authoritative and coherent text contains a rich blend of theory and practice and covers all the essential concepts and algorithms from relevant fields such as data mining, machine learning, and text processing.