Prediction of geographical location based on social media big data analytics

العناوين الأخرى

التنبؤ بالمواقع الجغرافية اعتماد على تحليل بيانات مواقع التواصل الاجتماعي

مقدم أطروحة جامعية

Abu Husayn, Ranim Nasim

مشرف أطروحة جامعية

al-Hamami, Ala Husayn

أعضاء اللجنة

al-Jarrah, Umar
al-Shubul, Muhammad

الجامعة

جامعة عمان العربية

الكلية

كلية العلوم الحاسوبية و المعلوماتية

القسم الأكاديمي

قسم علم الحاسوب

دولة الجامعة

الأردن

الدرجة العلمية

ماجستير

تاريخ الدرجة العلمية

2015

الملخص الإنجليزي

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.

التخصصات الرئيسية

تكنولوجيا المعلومات وعلم الحاسوب

عدد الصفحات

94

قائمة المحتويات

• APA
• MLA
• AMA

لغة النص

الإنجليزية

نوع البيانات

رسائل جامعية

رقم السجل

BIM-722066