Towards Judicial Data Mining: Arguing for Adoption in the Judicial System
نویسنده
چکیده
The Judicial System collects huge amounts of data which, unfortunately, are not turned into useful information for effective decision making. Decision support system can now use advanced technologies such as On-line analytical processing and data mining to deliver advanced capabilities that ensure efficiency. In this work we developed online analytical processing and data mining model in analysis services using Microsoft Structured Query Language server for judicial system to summaries data, finding the hidden patterns from data for future analysis and prediction, and intuitively present these results to the end users in Microsoft excel (browser). It further exploited decision trees as data mining technique which leads to the design and implementation of the data analysis components to illustrate the feasibility of data mining in the Zimbabwe judicial system.
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