Crime Prediction Using Decision Tree (J48) Classification Algorithm. by Ivan, Niyonzima, Emmanuel Ahishakiye, Elisha Opiyo Omulo, Danison Taremwa

Subjects: “…crime prediction; machine learning; decision tree; J48; artificial intelligence; Classification Algorithms.…”
Get full text

A Crime Data Analysis of Prediction Based on Classification Approaches by Fatima Shaker Hussain, Abbas Fadhil Aljuboori

Subjects: “…Crime, Crime Prediction, Decision Tree, Logistic Regression, Naïve Bayes…”
Get full text

Predicting and Preventing Crime: A Crime Prediction Model Using San Francisco Crime Data by Classification Techniques by Muzammil Khan, Azmat Ali, Yasser Alharbi

“…The study proposes a crime prediction model by analyzing and comparing three known prediction classification algorithms: Naive Bayes, Random Forest, and Gradient Boosting Decision Tree. …”
Get full text

A Performance Analysis of Business Intelligence Techniques on Crime Prediction by Ivan, Niyonzima, Emmanuel Ahishakiye, Elisha Opiyo Omulo, Ruth Wario

“…Four different classification algorithms that is; decision tree (J48), Naïve Bayes, Multilayer Perceptron and Support Vector Machine were compared to find the most effective algorithm for crime prediction. …”
Get full text

Integrating Machine Learning Techniques for Enhanced Safety and Crime Analysis in Maryland by Zeinab Bandpey, Soroush Piri, Mehdi Shokouhian

“…This study advances crime analysis methodologies in Maryland by leveraging sophisticated machine learning (ML) techniques designed to cater to the state’s varied urban, suburban, and rural contexts. …”
Get full text

Comparative Analysis of The Combined Model (Spatial and Temporal) and Regression Models for Predicting Murder Crime by Laith S. Ibrahim, Ghadeer Jasim Mohammed

“…The data used is about the monthly numbers of murder crimes for the police directorates in Baghdad and the governorates during the period from January 2015 to June 2023. …”
Get full text

Enhanced Spatial Clustering for Crime Analysis: Novel Advances in Ward-Like and SKATER Algorithms for Brazilian Public Security by Raydonal Ospina, Alexsandra Gomes De Lima, Cristiano Ferraz, Cecilia Castro, Carlos Martin-Barreiro, Victor Leiva

“…Using neighbourhood–level crime records for Recife, Brazil (2007–2015), we present new versions of two established methods —Ward–like hierarchical clustering and the graph-based spatial kluster analysis by tree edge removal (SKATER) algorithm– designed to: (i) enforce geographical contiguity and (ii) handle mixed (qualitative and quantitative) variable types through the Gower dissimilarity. …”
Get full text

Exploring the Complex Association Between Urban Built Environment, Sociodemographic Characteristics and Crime: Evidence from Washington, D.C. by Kaixin Liu, Longhao Zhang, Shangen Tsou, Lei Wang, Yike Hu, Ke Yang

“…Weighted least squares regression and Pearson correlation analysis were used to test the relationship between the built environment, sociodemographic, and crime, respectively. Some of the key findings are as follows. (1) Trees, bushes, and grass all reduce crime. (2) Urban functionality is hard to curb crime by enhancing informal public surveillance. (3) Among the sociodemographic variables, the walking commute rate is the variable most strongly positively correlated with crime. (4) Family relationships play an important role in suppressing crime. …”
Get full text

A Bibliometric Profile of Green Criminology and its Reflections on Tourism by Banu Özüşen, Erkan Kadir Şimşek

“…The limited and unbalanced distribution of natural resources in the world and the rapid development of international trade has increased crimes against the elements of the ecosystem. This increasing number of crimes brings along multifaceted economic losses and health and safety issues for all living things. …”
Get full text

The Steiner tree Prosecutor: Revealing and disrupting criminal networks through a single suspect. by Fredy Troncoso, Richard Weber

“…In the early stages of an investigation, details about a specific crime are typically scarce, often with no known suspect. …”
Get full text

Application Of ArtifiCial Intelligence in E-Governance: A Comparative Study of Supervised Machine Learning and Ensemble Learning Algorithms on Crime Prediction. by Niyonzima, Ivan, Muhaise, Hussein, Akankwasa, Aureri

“…The performance of supervised machine learning and ensemble learning algorithms was done using crime data. The supervised machine learning algorithms used include K-Nearest Neighbor (KNN), decision tree classifier (CART), Naïve Bayes (NB) and Support vector machine (SVM). …”
Get full text

Explainable Feature Engineering for Multi-class Money Laundering Classification by Petre-Cornel GRIGORESCU, Antoaneta AMZA

“…This paper provides insight into typical money laundering typologies used in the financial crime domain and provides a concrete set of methods through the use of which fraudulent transactions may be classified using traditional machine learning algorithms and proving the efficacy of tree-based models in not only predictive power, but also explainability and ease of interpretation of results.…”
Get full text

Cascaded intrusion detection system using machine learning by Md. Khabir Uddin Ahamed, Abdul Karim

Get full text

Does vegetation structure influence criminal activity? Insights from Cape Town, South Africa by Luke J. Potgieter, Mirijam Gaertner, Patrick J. O'Farrell, David M. Richardson

“…<p>Dense vegetation, especially thickets of trees or shrubs, has been associated with actual and perceived crime risk in several parts of the world. …”
Get full text

Delays reduce culprit-presence detection but do not affect guessing-based selection in response to lineups by Amelie Therre, Raoul Bell, Nicola Marie Menne, Carolin Mayer, Ulla Lichtenhagen, Axel Buchner

Get full text

Research on the method of discovering specific organization structure in bank account transaction network by Fang LYU, Xijing LU, Wei WANG, Junheng HUANG, Bailing WANG

“…In recent years,stakeholder economic crime behaviors such as illegal pyramid schemes,illegal fund raising and money laundering despite repeated prohibitions,makes the research of anomaly detection in financial transaction network has gradually attracted the attention of researchers.The way how to fund flow between bank accounts in an illegal organization implies the relationship structure of their members.Firstly,a directed weighted transaction network model was built on the basis of the transaction characteristics.Then,combining with the localtopology structure of the built transaction network of the accounts,two kinds of core nodes of the organization,including black hole nodes and star nodes,were defined.By analyzing the relationship between those two kinds nodes,an organization discovery algorithm of combining “black hole and star nodes” based on spanning subgraph was proposed.Experiments on real bank accounts transaction network containing illegal pyramid scheme organizations show the effectiveness of the algorithm in discovering the specific tree organization structure.…”
Get full text

The state of scientific research on the use of specialist knowledge in smuggling investigations by Yu. Yu. Kovalov

“…It is determined that in the modern period of development of the legal framework for combating crime and the scientific basis of such activities, which began in the early 2000s, attention has been repeatedly paid to the issues of ensuring effective investigation of criminal offences related to smuggling. …”
Get full text

An efficient gravitational search decision forest approach for fingerprint recognition by Mahesh Kumar, Devender Kumar

“…In the proposed GSDF approach, the mass agent of GSA determines the solution by constructing decision trees in accordance with the random forest hypothesis. …”
Get full text

Data augmentation via diffusion model to enhance AI fairness by Christina Hastings Blow, Lijun Qian, Camille Gibson, Pamela Obiomon, Xishuang Dong

Get full text

Dionysos à Meknès : les dieux, les corps et la ville chez Miloudi Chaghmoum by Ziad Elmarsafy

“…This article explores the intersection of the urban, the theological and the mystical in Miloudi Chaghmoum’s novel, Masālik Al-Zaytūn [Routes through the Olive Trees / The Routes of Meknes] through an analysis of the novel’s repeated allusions to the idioms of Sufism and the figure of Dionysus. …”
Get full text