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The Nawabs of Tank

Thesis Info

Author

Mir Salam

Department

Pakistan Study Centre

Program

MA

Institute

University of Peshawar

Institute Type

Public

City

Peshawar

Country

Pakistan

Degree Starting Year

2009

Degree End Year

2011

Subject

Pak Studies

Language

English

Added

2021-02-17 19:49:13

Modified

2023-01-06 19:20:37

ARI ID

1676710892887

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میر مرتضیٰ بھٹو

میر مرتضی بھٹو

ذوالفقار علی بھٹو کا بیٹا 18ستمبر1954کو کراچی میں پیدا ہو ا۔ابتدائی تعلیم کراچی سے حاصل کی ۔بیچلر ڈگر ی ہارورڈ یونیورسٹی سے اور ماسٹر ڈگری آکسفورڈ سے حاصل کی ۔1977ء میں اپنے والد کی رہائی کے لیے تاریخی مہم چلائی اور دنیا کے اہم ترین رہنمائوں سے ملاقات کی ۔

1993میں پاکستان واپس آتے ہی گرفتار ہو گئے ۔بعد میں ضمانت پررہا ہو گئے ۔ 1993میں لاڑکانہ سے سندھ اسمبلی کے ممبر منتخب ہوئے اور پیپلز پارٹی شہید بھٹو گروپ کی بنیاد رکھی۔20ستمبر 1996ء کو کراچی پولیس فائرنگ سے اپنے ساتھیوں سمیت ہلاک ہو گئے ۔

 

حیات امام مسلم بن حجاج القشیری

Prophet Muhammad (Peace be upon him) asked the Ummat to build a strong bond with Quran and Sunnah. However, it was not possible to hold these, till both were not maintained in their original form. The science of Hadith has a significant role in the preservation of this Islamic Intellectual Heritage. It became possible because of the tremendous efforts of the Muslim Scholars who spent their entire lives in learning and spreading the Islamic knowledge. Imam Muslim bin Hajjaj al Qushairi 578 AD is one of the most enthusiastic, popular, and authentic personalities in the field of science of Hadith and among the bibliography of the narrators of Hadiths. His compilation As-Sahih Al-Jamey has a major contribution in preservation of Hadith. It is considered as the second most authentic book after The Quran. The paper discusses in details about the life of this intellectual personal, his journeys, his teachers, his students, his status, and his other research works.

Prediction of Suspected Criminals Using Weighted Ranking Engine

Law enforcement departments are using several criminal databases which contain different parameters related to crimes and criminals. This data is critical for investigation. There is a need to apply data mining techniques on such data to identify interesting patterns and influential parameters. These influential parameters can be used by the law enforcement departments for crime control and investigation. Criminal profiling is used by law enforcement agencies as an investigation tool to predict the suspected offenders and to extract similar patterns which help in prediction of future offences. Different criminal profiling techniques were proposed based on crime nature, geographic locations, physical characteristics, crime scene parameters, modus operandi, victim details, forensic evidence, recency, prolificness and actual location. In Pakistan generally and in the province of Khyber Paktunkhwa particularly, less work has been done in criminal profiling. In this research, a predictive system for criminal profiling has been proposed based on a mathematical model. The mathematical model is constructed from a list of attributes which are critical for criminal profiling. A scoring engine has been designed which assigns scores to criminals on the basis of which they are classified into high-profile (habitual), medium-profile, and low-profile (non-habitual) criminals. This classification will greatly help the law enforcement departments in the process of investigation, prediction and management of criminals. Dataset of prison department of Khyber Pakhtunkhwa has been used in this research. There are thirty attributes available in the dataset from which twenty two have been selected using attribute selection method. Some attributes are derived from the existing attributes and finally a list of attributes has been made for research purposes. The findings of this research shows that five attributes have strong correlation with high act crimes that are: total number of hearings, recovery in high act crime, total number of group members, total number of non-blood visitors and crime frequency. There are three attributes that have strong negative correlation with the high act crimes which are: prison duration, number of dependents and education. On the basis of these attributes a mathematical scoring model is constructed which is used for criminals profiling.