Data Mining in the Application of Criminal Cases Based on Decision Tree
Journal Title: Scholars Journal of Engineering and Technology - Year 2014, Vol 2, Issue 1
Abstract
A briefing on data mining technology used in criminal investigation work and the importance of using ID3 decision tree to structure the Decision Tree algorithm method is given by this paper. It makes a combination of criminal cases criminal suspects training data sets, using its decision tree analysis of the classification and uses Microsoft SQL Server 2005 Office 2007 Add to the data mining of Visio 2007 graphics. It shows and shares the form of mining model.
Authors and Affiliations
Ruijuan Hu
Keywords
Related Articles
- EP ID EP384794
- DOI -
- Views 56
- Downloads 0
Filteration of Unwanted Text Messages From Online Social Networks Using Probabilisitc Classifier
Now-a-days, Online Social Networking sites are important part of human society. In other way a person maintains a social networking site account which is then used for the following purposes like building relations, for...
Effect of Sodium Bentonite Clays on the Behaviours of Fresh Sprayed Mortars
Abstract:This paper presents an experimental study of mortars proportioned with various contents of bentonite. In comparable with a reference formulation, the effect of a bentonite-clay additive is investigated. To deter...
The Influence of Shredded Tyres on The Strength of Concrete
This research focuses on the influence of shredded tyres on concrete compressive and pulling tensile strength. 5%, 10% and 15% of the tyre shreds in volume from the waste tyres were used to replace the 20mm coarse minera...
Strength of Concrete by Partially Replacing the Fine aggregate using M-Sand
Cement concrete is the most extensively used material for construction of different types of structures components such as buildings, bridges and shell roofs and also for precast products such as pipes, poles, sleepers,...
Opinion Mining and Sentiment Analysis in Data Mining
An essential part of our information-gathering behavior has constantly been to discover “what other people think”. With the explosion of Web 2.0 platforms such as blogs, discussion forums, peer-to-peer networks, and vari...