Prediction of geographical location based on social media big data analytics

Other Title(s)

التنبؤ بالمواقع الجغرافية اعتماد على تحليل بيانات مواقع التواصل الاجتماعي

Dissertant

Abu Husayn, Ranim Nasim

Thesis advisor

al-Hamami, Ala Husayn

Comitee Members

al-Jarrah, Umar
al-Shubul, Muhammad

University

Amman Arab University

Faculty

Collage of Computer Sciences and Informatics

Department

Department of Computer Science

University Country

Jordan

Degree

Master

Degree Date

2015

English Abstract

Crime is a social problem, and it is a serious issue that affects everyone in society.

It affects the victims, perpetrators and their families.

In addition, lack of problem-solving capability does account for some criminal behaviors.

Crime has increased drastically within the last decade.

The government has made an attempt to reduce crime by analyzing and identifying potential criminal behavior which is vital for prevention and intervention, as well as to identify personality traits that tend to lead to delinquency.

The new orientation for crime reduction is to predict the crime based on the location and time, which will help the government in securing the crime locations and protect people from potential crimes before they occur, while reducing the number of crimes, this being the measure of success for this solution To achieve this goal, a social media database stored at cloud infrastructure is used, and then a special algorithm is applied to analyze this big data and to predict crime locations.

in the end, this solution is constructed to be a package as a service plug in a cloud infrastructure.

Main Subjects

Information Technology and Computer Science

No. of Pages

94

Table of Contents

• APA
• MLA
• AMA

Language

English

Data Type

Arab Theses

Record ID

BIM-722066