Investigating crimes using text mining and network analysis
العناوين الأخرى
التحقيق في الجرائم من خلال تحليل النصوص و الشبكات الاجتماعية
مقدم أطروحة جامعية
مشرف أطروحة جامعية
أعضاء اللجنة
al-Agha, Iyad Muhammad
Abu-Shaban, Yusuf Nabil
الجامعة
الجامعة الإسلامية
الكلية
كلية تكنولوجيا المعلومات
دولة الجامعة
فلسطين (قطاع غزة)
الدرجة العلمية
ماجستير
تاريخ الدرجة العلمية
2015
الملخص الإنجليزي
In these days, security of citizens is considered one of the major concerns of any government in the world.
In every country, there is a huge amount of unstructured texts coming from investigating offenders in police departments.
As a result, the importance of crimes analysis is growing day after day.
Criminology is one of the hot areas that focuses on the scientific study of crimes and aims to identify crime characteristics and both criminal behaviors and networks.
This field of study is one of the most intelligent research areas where text mining is used to process unstructured texts and extract meaningful information which is hidden in the unstructured texts.
The knowledge extracted from text mining is very useful to police departments where solving crimes is a very complex task that requires human effort and experience.
There is a little research in methods and techniques that extract criminal networks from unstructured investigations texts especially in Arabic language.
Accordingly, the current research proposes a system to identify networks of criminals, and extract useful information relevant to crimes such as offender’s connection networks and discover a new hidden relationship between offenders by linking investigation documents with each other.
After that, the results of the research are visualized direct and indirect relation between offenders to help policemen find pieces of evidences related to certain crimes and accordingly apply the law.
In our proposed system, we climb three main distinct contributions to discover forensics using investigation documents.
The first by extracting offender names from unstructured text.
Secondly, by constructing a crime network from real Arabic investigation documents.
Finally, we provide analysis of the interaction between offenders in different documents that directly and indirectly related used to discover a new clue used to solve the crime puzzle.
To evaluate the performance and effectiveness of the proposed system, real unstructured documents about investigations are obtained from police departments in the Gaza Strip.
The experimental results show that the proposed system is effective in identifying proper offender person's name from real Arabic Documents.
The average results for our system using the F-measure is 89% also the average of F-measure in a proposed algorithm for discovery hidden relationship arrive to 92%.
In addition, we found that our approach achieves best F-measure results in most cases.
التخصصات الرئيسية
علم الاجتماع و الأنثروبولوجيا و الخدمة الاجتماعية
تكنولوجيا المعلومات وعلم الحاسوب
الموضوعات
عدد الصفحات
80
قائمة المحتويات
Table of contents.
Abstract.
Abstract in Arabic.
Chapter One : Introduction.
Chapter Two : Related works.
Chapter Three : Theoretical foundation.
Chapter Four : The proposed crime detection approach.
Chapter Five : Experiments setup.
Chapter Six : Conclusion and future work.
References.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
al-Yaziji, Nail Taysir Nimr. (2015). Investigating crimes using text mining and network analysis. (Master's theses Theses and Dissertations Master). Islamic University, Palestine (Gaza Strip)
https://search.emarefa.net/detail/BIM-688572
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
al-Yaziji, Nail Taysir Nimr. Investigating crimes using text mining and network analysis. (Master's theses Theses and Dissertations Master). Islamic University. (2015).
https://search.emarefa.net/detail/BIM-688572
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
al-Yaziji, Nail Taysir Nimr. (2015). Investigating crimes using text mining and network analysis. (Master's theses Theses and Dissertations Master). Islamic University, Palestine (Gaza Strip)
https://search.emarefa.net/detail/BIM-688572
لغة النص
الإنجليزية
نوع البيانات
رسائل جامعية
رقم السجل
BIM-688572
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر