Based On The Sql Server2005 Offender Information Data Mining Technology Research And Application

As the use of information technology spread in a wide range of applications of prison management, in particularly database technology and the World Wide Web applications. The amount of prison's data has dramatically increased. Most of current information management systems are based on the OLTP system, they lack ability of comprehensive analysis to support decision-making, as well as the ability to auto-discover pattern;And they cannot use implicit knowledge in the massive accumulation of information of their history. In this case, we applied the Data Mining Technology to information management in prison system, which can bring a very important practical significance to the management of current prison systems.Data mining is the process of extracting hidden patterns from a large amount of incomplete, noisy, fuzzy and random data. The potentially useful patterns are not known in advance. This article mainly focuses on the mining process of the NW prison. Based on the original criminal information management system of NW prison, we use SQL Server2005 as the back-end database and data mining platform, establish the mining structures and mining models that are needed in the process of data mining in SQL Server. Therefore we can give some support information for the decision-makers.In this thesis, we apply the data mining technology to criminal information in prison, the main contents and contributions of this article are as follows:1. Deisgn the prison database, extract four mining tasks: sentence prediction, mining association rules, cluster analysis.2. According to tasks of criminal data mining, we implement the decision tree, association rule mining, and clustering analysis that are applied to criminal data mining.3.using SQL Server2005 as the back-end database and data mining platform, we implement a C / S structured prison data mining system named NWP with C#.