Title :
Based on Struts + Hibernate and J2EE framework of data mining technology research and design
Author :
Luo, Entao ; Li, Wen
Author_Institution :
Dept. of Comput. & Inf. Sci., HuNan Univ. of Sci. & Eng., Yongzhou, China
Abstract :
This article comprehensively using J2EE, Struts, Hibernate, MVC design patterns, Data mining technology etc, Established a multilayer distributed of E-government system, And using for reference the Winters model, Unitary linear regression, quadric exponential smoothing model of data were abstracted prediction, And in the J2EE platform using Java language to realization.
Keywords :
Java; data mining; J2EE framework; J2EE platform; Java language; MVC design pattern; Struts + Hibernate; Winters model; data mining technology research; e-government system; quadric exponential smoothing model; unitary linear regression; Analytical models; Data mining; Data models; Information science; Java; Predictive models; Yttrium; Exception handling; Hibernate; J2EE; MVC; Struts; Winters model; data mining;
Conference_Titel :
Computer Science and Service System (CSSS), 2011 International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4244-9762-1
DOI :
10.1109/CSSS.2011.5974473
