| The Green Star football loss rate data analysis software presented in this thesis is to provide a highly efficient browser/server data analysis tool for sport amateurs on basis of large scale data analysis techniques.The general goal for this software development is to overcome the traditional sport match information analysis pattern and support the users with innovative and enriched analysis techniques ranging from basic situation information judgment to sport match indices analytical conditions,and further support the users to create their own preferred analytical data models.The desired functions,software design scheme and programming implementation methods are presented in this thesis with focuses on the system's critical functions of basic information processing,football match related data filtering,football loss rate analysis and automated information matching.The related use case models,software architecture,internal data model and information computational processing workflows are presented together with the related C# based programming examples.The software is designed with modularization methods and layered architecture,in combination with sophisticated software development technologies and innovative system functions,to provide an advanced,practical and user friendly football sport information processing application.This software has been in service with the features of complete basic information including basic situation information,win and loss tendency and multiple types of sport indices,and strong processing capabilities on basis of flexible match condition combination and filtering analysis.It is suitable to ordinary amateurs' usage as well as to the sophisticated users' demands on innovative functions to highly raise their efficiency.In conclusion,it is a valuable information based support to both customers and providers of modern sport match business operations. |
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