GIS based Serial Crime Analysis using Data Mining Techniques
نویسندگان
چکیده
منابع مشابه
GIS based Serial Crime Analysis using Data Mining Techniques
Serial crimes are the problems which are mostly committed by minority of offenders. The law enforcement people are forced to find out the serial crime which is considered as complex task. In order to find out the serial crimes, one needs to investigate the large number of crimes which are unlinked with each other. These problem need to be analyzed in different ways to find out the link that exi...
متن کاملExtraction of Drug Crime Patterns and Identifying People at Risk Using Data Mining Techniques
Introduction: In recent years, technology advancement and the growth of information technology in organizations have provided a huge source of data stored in the field of drug-related offenses. Analyzing these data and discovering hidden patterns in it can help detect and prevent the occurrence of crimes in this area. This paper aimed to identify the susceptible people to drug trafficking in Si...
متن کاملExtraction of Drug Crime Patterns and Identifying People at Risk Using Data Mining Techniques
Introduction: In recent years, technology advancement and the growth of information technology in organizations have provided a huge source of data stored in the field of drug-related offenses. Analyzing these data and discovering hidden patterns in it can help detect and prevent the occurrence of crimes in this area. This paper aimed to identify the susceptible people to drug trafficking in Si...
متن کاملTown trip forecasting based on data mining techniques
In this paper, a data mining approach is proposed for duration prediction of the town trips (travel time) in New York City. In this regard, at first, two novel approaches, including a mathematical and a statistical approach, are proposed for grouping categorical variables with a huge number of levels. The proposed approaches work based on the cost matrix generated by repetitive post-hoc tests f...
متن کاملPrediction of Student Learning Styles using Data Mining Techniques
This paper focuses on the prediction of student learning styles using data mining techniques within their institutions. This prediction was aimed at finding out how different learning styles are achieved within learning environments which are specifically influenced by already existing factors. These learning styles, have been affected by different factors that are mainly engraved and found wit...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Journal of Computer Applications
سال: 2016
ISSN: 0975-8887
DOI: 10.5120/ijca2016912119