Themes in data mining, big data, and crime analytics

GC Oatley - Wiley Interdisciplinary Reviews: Data Mining and …, 2022 - Wiley Online Library
This article examines the impact of new AI‐related technologies in data mining and big data
on important research questions in crime analytics. Because the field is so broad, the review …

[PDF][PDF] Collaboro: a collaborative (meta) modeling tool

JLC Izquierdo, J Cabot - PeerJ Computer Science, 2016 - peerj.com
Motivation Scientists increasingly rely on intelligent information systems to help them in their
daily tasks, in particular for managing research objects, like publications or datasets. The …

Forensic intelligence and the analytical process

G Oatley, B Chapman, J Speers - … Reviews: Data Mining and …, 2020 - Wiley Online Library
A review was undertaken of the developments made with integrating forensic evidence into
the analytical process to support police investigations. Evidence such as DNA, fingerprints …

MedFused: A framework to discover the relationships between drug chemical functional group impacts and side effects

MAP Chamikara, YPP Chen - Computers in Biology and Medicine, 2021 - Elsevier
It is a well-known fact that there are often side effects to the long-term use of certain
medications. These side effects can vary from mild dizziness to, at its most serious, death …

[PDF][PDF] Fuzzy based binary feature profiling for modus operandi analysis

MAP Chamikara, A Galappaththi, RD Yapa… - PeerJ Computer …, 2016 - peerj.com
It is a well-known fact that some criminals follow perpetual methods of operations known as
modi operandi. Modus operandi is a commonly used term to describe the habits in …

Combining the richness of GIS techniques with visualisation tools to better understand the spatial distribution of data-a case study of Chicago City crime analysis

OI Bani-Taha, MO Shafiq - International Journal of Big Data …, 2020 - inderscienceonline.com
This study aims to: 1) to explore the benefits of adding a spatial GIS layer of analysis to other
existing visualisation techniques; 2) to identify and evaluate the patterns in selected crime …

[PDF][PDF] ENHANCING POLICING EFFICIENCY: A MACHINE LEARNING-BASED CRIME MANAGEMENT SYSTEM

N Tripathi, A Tiwari - GLIMPSE, 2024 - akgec.ac.in
The 'ML-Based Crime Management System'enhances public safety by using advanced
machine learning (ML) techniques to predict and analyze crime trends accurately. Our …

[PDF][PDF] Fuzzy based binary feature profiling for modus operandi

MAP Chamikara - researchgate.net
Abstract 29 It is a well-known fact that some criminals follow perpetual methods of
operations, known as 30 modus operandi (MO) which is commonly used to describe the …