A machine learning approach to predict crime using time and location data

A machine learning approach to predict crime using time and location data

Cataloged from PDF version of thesis report.

Bibliografiset tiedot
Päätekijä:	Shama, Nishat
Muut tekijät:	Majumdar, Dr. Mahbub Alam
Aineistotyyppi:	Opinnäyte
Kieli:	English
Julkaistu:	BRAC University 2017
Aiheet:	Machine learning Crime Time and location
Linkit:	http://hdl.handle.net/10361/8197

Samankaltaisia teoksia

Predictive location generation using machine learning approach
Tekijä: Hasan, S.A.M Khaled, et al.
Julkaistu: (2018)

Location,time and preference aware restaurant recommendation method
Tekijä: Habib, Md. Ahsan, et al.
Julkaistu: (2017)

Business location recommendation using check-in data
Tekijä: Ahmed, Nasim Uddin, et al.
Julkaistu: (2018)

Finding suitable locations for live campaigns using different machine learning techniques
Tekijä: Qudar, Mohiuddin Md. Abdul, et al.
Julkaistu: (2018)

Where will you setup your business next?: a machine learning approach to suggest ideal geographical location for new restaurant establishment
Tekijä: Shihab, Ibne Farabi, et al.
Julkaistu: (2018)

Real-time foul detection in football matches using machine learning techniques
Tekijä: Siddiqui, Bishal Sadi, et al.
Julkaistu: (2024)

Predicting crime using deep learning
Tekijä: Shihab, Muhammad Nafees, et al.
Julkaistu: (2024)

Heart disease prediction using machine learning algorithms
Tekijä: Ali, Musfiq, et al.
Julkaistu: (2019)

Predicting criminal activities analyzing video signal using machine learning
Tekijä: Sadman, Syed Md., et al.
Julkaistu: (2021)

Predicting depression in Bangladeshi undergraduates using machine learning
Tekijä: Choudhury, Ahnaf Atef, et al.
Julkaistu: (2019)

Predicting temperature of major cities using machine learning and deep learning
Tekijä: Jaharabi, Wasiou, et al.
Julkaistu: (2024)

Crop prediction based on geographical and climatic data using machine learning and deep learning
Tekijä: Alif, Al Amin, et al.
Julkaistu: (2019)

Predicting climate induced floods using machine learning
Tekijä: Saleh, Chowdhury Nafis, et al.
Julkaistu: (2022)

Prediction of human activity using machine learning
Tekijä: Tisha, Sadia Nasrin, et al.
Julkaistu: (2020)

Machine learning as an indicator for breast cancer prediction
Tekijä: Shadman, Tahsin Mohammed, et al.
Julkaistu: (2019)

A descriptive study on development of a transfer learning based fault detection model using 2D CNN for air compressors
Tekijä: Hasan, Moenul, et al.
Julkaistu: (2021)

Predicting depression in Bangladeshi undergraduates using machine learning
Tekijä: Choudhury, Ahnaf Atef, et al.
Julkaistu: (2019)

Flood prediction using ensemble machine learning models
Tekijä: Rahman, Tanvir
Julkaistu: (2024)

Machine learning for stress prediction
Tekijä: Salehin, Sherajus, et al.
Julkaistu: (2023)

Fake profile detection in social media using image processing and machine learning
Tekijä: Sen, Shuva, et al.
Julkaistu: (2021)

Machine learning approach for ECG analysis and predicting different heart diseases
Tekijä: Tithi, Sushmita Roy, et al.
Julkaistu: (2019)

A machine learning approach to detect depression and anxiety using supervised learning
Tekijä: Ullas, Md Tahmidur Rahman, et al.
Julkaistu: (2019)

Flight fare prediction using machine learning
Tekijä: Noyon, Md. Shaim Hosan, et al.
Julkaistu: (2024)

Prediction of bipolar disorder from mental episodes using machine learning approach
Tekijä: Tasmeem, Sumaiya, et al.
Julkaistu: (2023)

Alumni opportunities using machine learning
Tekijä: Siaum, Arshif Sharlimin, et al.
Julkaistu: (2019)

A machine learning approach to predict movie box-office success
Tekijä: Quader, Nahid, et al.
Julkaistu: (2018)

Machine fault diagnosis using a modified transferable CNN
Tekijä: Shammi, Sanjana Khan
Julkaistu: (2024)

Statistical analysis of network data flows and predictions using statistical and machine learning regression models
Tekijä: Boateng, Albert, et al.
Julkaistu: (2024)

Real-time crime detection using convolutional LSTM and YOLOv7
Tekijä: Sakiba, Cyrus, et al.
Julkaistu: (2023)

Health monitoring IoT device with risk prediction using cloud computing and machine learning
Tekijä: Das, Anindya, et al.
Julkaistu: (2021)

Prediction and detection in change of cognitive load for VIP’s by a machine learning approach
Tekijä: Rahman, Fahim, et al.
Julkaistu: (2021)

A machine learning approach to credit default prediction and Individual credit scoring
Tekijä: Rahman, Md. Jaber, et al.
Julkaistu: (2018)

Observing mega cities to grow from space and predicting its growth using machine learning techniques
Tekijä: Chakma, Mitesh, et al.
Julkaistu: (2018)

Bank loan prediction using machine learning
Tekijä: Mahottam, Parthosarothi, et al.
Julkaistu: (2023)

A machine learning approach to analyze and predict rainfall in different regions of Bangladesh
Tekijä: Rahee, Arnob, et al.
Julkaistu: (2021)

Travel time prediction using machine learning and weather impact on traffic conditions
Tekijä: Deb, Bilash, et al.
Julkaistu: (2018)

Crowed source based traffic analysis using machine learning algorithm
Tekijä: Orthy, Marzia Khan, et al.
Julkaistu: (2017)

Public vehicle ETA system using machine learning
Tekijä: Kabir, Md. Miraz, et al.
Julkaistu: (2018)

Document template identification and data extraction using machine learning and deep learning approach
Tekijä: Roy, Kaushik, et al.
Julkaistu: (2024)

Automate crime news segmentation, knowledge-based generation and public opinion mining for social awareness
Tekijä: Sabit, Ahmed Bin, et al.
Julkaistu: (2021)