Expectation-Maximization clustering of states based on crime cases against children

• Published in: 2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT) pp. 1 - 6
• Main Authors: Thota, Lalitha Saroja, Sultana, Isharath, Shravani, Yerraginnela, Changalasetty, Suresh Babu, Asif Basha, Syed, Changalasetty, Sreelasya, Satyanarayana, Pulime, Banu, Firdouse
• Format: Conference Proceeding
• Language: English
• Published: IEEE 06.07.2023
• Subjects: clustering; Clustering methods; Data analysis; Data visualization; Expectation-Maximization; Law enforcement; machine learning; Maximum likelihood estimation; Organizations; Pediatrics; pre-processing; visualization; WEKA
• ISSN: 2473-7674
• DOI: 10.1109/ICCCNT56998.2023.10307033

A child is the utmost innocent and vulnerable human being. Yet, children fall easy target to many types of violence, all over the place and each single day. Globally, one billion children face certain form of emotional, physical or sexual crimes each single year. To prevent and address crimes against children, a multifaceted approach combining law enforcement, healthcare workers, educators, researchers and social service providers is necessary. Modern technology and advanced tools are widely in use for criminal investigations from crime data. Although crime data set solely comprises the number of crimes reported in each state for various years, clustering can still be used to group states in India according to the crime cases against children. In this paper, we apply Expectation-Maximization (EM) cluster methodology in WEKA platform to find patterns and trends in child crime rate data and cluster states in India based on crime cases against children which may help to create efficient interventions to stop and deal with crimes against children.