Benner
محمد رضا عبد الزهرة الكعبي ( مدرس مساعد )
كلية
[email protected]
 
 
 
Knowledge Observation and Applied Classification and Clustering for Criminal Data Set
تحميل
بحث النوع:
علوم التخصص العام:
Saif A. Abdul-Hussein اسم الناشر:
Mohammed R.A.M. Hammoodi اسماء المساعدين:
Jour of Adv Research in Dynamical & Control Systems, Vol. 10, No. 10, 2018 الجهة الناشرة:
Jour of Adv Research in Dynamical & Control Systems, Vol. 10, No. 10, 2018  
2018 سنة النشر:

الخلاصة

Data science has become important as the new way in the new business area, and the knowledge nowadays represents as a critical function in the whole of all sciences of different organizations, so these two factors (data science and knowledge) are becoming a higher priority of the most job wanted and social services in the world. So nowadays different enterprise jobs are related to knowledge extracting. In this paper will present how to study and analysis of data that related to social services which are criminal data. The study consists of different mining tools by using algorithms like classifications and clustering techniques. This paper presents different crimes with related information distributed as day, months, years and locations. Different crimes are classified into sets according to (day, month, and year) to get information when the crime happens (knowledge) in which type of crime with which time it occurred, and finally different clusters of the logged data using k-means algorithms. Different tools and software are used like WEKA, XLSTAT and statistical excel to apply data mining algorithms to the logged data.