The SourceForge open source lightweight Wicket project is a Java web application framework that takes simplicity, separation of concerns and ease of development to a new level. This book takes a no-nonsense approach, jumping directly to the practical aspects of Wicket. Chapters include Developing Wicket Forms; Validation with Wicket; Developing a Simple Application; Providing a Common Layout; Spring Integration; Wicket Localization; Wicket and Ajax; Custom Components and Wicket Extensions, and Unit Testing. Pro Wicket gets you quickly up and running with the framework and the attractively simple ‘wicket-way’ of addressing web development requirements.

This book focuses on the application of data mining techniques in cricket. It provides detailed examples of how data mining can be helpful for decision-making in sports with special reference to cricket, particularly the quantitative features related to Twenty20 cricket, the latest and the most popular format of the game. The book highlights the performance quantification of cricketers (batsmen, bowlers, all-rounders, and wicket keepers), determining the market valuation of cricketers based on their on-field performances and the effect of age on the performance of the cricketers. It also provides a comprehensive overview of the different aspects of the game where quantitative techniques are beneficial, and highlights the use of statistical and data mining tools in analysing sports-related data and objective decision-making in sports. The book appeals to a wide readership, including postgraduate students of statistics/mathematics, data analysts, sports management bodies. It also offers data miners, such as researchers in statistics, mathematics, operations research, and computer science ideas for projects.

Reprint of the original. The publishing house Anatiposi publishes historical books as reprints. Due to their age, these books may have missing pages or inferior quality. Our aim is to preserve these books and make them available to the public so that they do not get lost.