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Criminal Case Decision-Making Support System Research And Realization

Posted on:2008-07-13Degree:MasterType:Thesis
Country:ChinaCandidate:S J MeiFull Text:PDF
GTID:2178360218462112Subject:Software engineering
Abstract/Summary:PDF Full Text Request
With the further development of Database Technology,the technology of datawarehouse has come into being and such computer-related technologies as networktechnology and artificial intelligience have more instantly developed..DecisionSupport System (DSS) and its application are widened to meet the various needs ofdifferent decision-makers in decision-making.Criminal case DSS is constructed as an important component of informationconstruction of the public security. This system is that various business informationhas datasets and builds data warehouse by their isolated performance andindependent storage. By data mining technique, the criminal case and the personnelinvolved are analyzed. Criminal case DSS offers Support of the policy decision to hitand prevent from crime for the public security.This paper, first of all, introduces the theory of the data warehouse and datamining technique as well as describes Decision Support System Based on DataWarehouse. Secondly, such three Information Sources of the Criminal Cases as fieldinformation, service information and social communal information are analyzed, thetheme of the case-making is defined. The theme of the data warehouse which refers tothe case and criminal is designed, which adopts Microsoft SQL Server 2005 as a SoftEnvironment. The business intelligent BI Dev Studio in Microsoft SQL Server 2005 isused as data mining tools, this paper focuses on the application sample of Microsoftassociation rules and decision Tree data mining algorithmThe systematical design and experimental sections in the paper, based ondemand analysis, introduces API concerned with data mining programming and itsapplication. Such as: ADOMD.NET and AMO etc. Finally, this paper introducessystematic frame.
Keywords/Search Tags:DSS(Decision Support System), DW ( Data Warehouse), OLAP (On-Line Analytical Processing), DM(Data Mining)
PDF Full Text Request
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