Purpose The aim of this study is to examine small area variation in crime trajectories during
the COVID-19 pandemic in England and Wales. While we know how police-recorded crime …

Child growth patterns assessment is critical to design public health interventions. However,
current analytical approaches may overlook population heterogeneity. To overcome this …

Understanding spatial composition and characteristics of urban communities is an important
factor determining the potential for social interactions between residents, greater chances for …

Crime mapping and analysis sit at the intersection of geocomputation, data visualisation and
cartography, spatial statistics, environmental criminology, and crime analysis. This book …

Penentuan cluster optimal ini seringkali ambigu karena dihasilkan dari beberapa kelompok.
Pemilihan informasi dari kelompok mana yang akan digunakan oleh pengguna menjadi …

Analyzing time-series sentencing data presents many challenges. The data have many
dimensions and change with time. This makes it difficult to identify patterns and discuss their …

Traditional data mining algorithms have such defects as low computational efficiency and
high memory usage, increasingly unsuitable for the current situation of big data processing …

Conformations of kinase obtained from molecular dynamic (MD) simulation plays an
important role in molecular docking experiment in the field of drug discovery and …

Memahami pelanggan sangat penting untuk mengelola operasi perusahaan. Dengan
mengetahui dan memahami setiap pelanggan, dapat meningkatkan komunikasi layanan …

K-Medoids is a clustering algorithm that is often used because of its robustness against
outliers. In this research, the focus is to cluster provinces based on educational level through …