Big data analysis using machine learning for social scientists and criminologists / by Juyong Song and Tae Min Song.
Material type:
TextPublisher: Newcastle upon Tyne : Cambridge Scholars Publishing, 2019Copyright date: ©2019Description: 1 online resourceContent type: - text
- computer
- online resource
- 9781527536791
- 1527536793
- Data mining -- Industrial applications
- Big data
- Machine learning
- Crime -- Data processing
- Electronic data processing
- Criminologists -- Data processing
- Social scientists -- Data processing
- Exploration de données (Informatique) -- Applications industrielles
- Données volumineuses
- Apprentissage automatique
- Criminologistes -- Informatique
- Spécialistes des sciences sociales -- Informatique
- Machine learning
- Crime -- Data processing
- Big data
- Electronic data processing
- 006.3/12 23
- QA76.9.D343 S66 2019
| Item type | Home library | Collection | Call number | Materials specified | Status | Date due | Barcode | |
|---|---|---|---|---|---|---|---|---|
Electronic-Books
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OPJGU Sonepat- Campus | E-Books EBSCO | Available |
Includes bibliographical references and index.
This book provides a detailed description of the entire study process concerning gathering and analysing big data and making observations to develop a crime-prediction model that utilizes its findings. It offers an in-depth discussion of several processes, including text mining, which extracts useful information from online documents; opinion mining, which analyses the emotions contained in documents; machine learning for crime prediction; and visualization analysis. To accurately predict crimes using machine learning, it is necessary to procure high-quality training data. Machine learning com.
Online resource; title from digital title page (viewed on August 13, 2019).
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