TY  - BOOK
AU  - Mena, Jesus.
TI  - Machine learning forensics for law enforcement, security, and intelligence
SN  - 9781439860694
U1  - 363.250285631 23
PY  - 2011///
CY  - London
PB  - CRC Press
KW  - Forensics
KW  - Forensics technology
KW  - Law enforcement
KW  - Security and Intelligence
N1  - CONTENTS

Chapter 1. What is machine learning forensics?
Definition
Digital maps and models: strategies and technologies
Extractive forensics: Analysis and text mining
etc...

Chapter 2. Digital investigative maps and models: strategies and techniques
Forensic strategies
Decompose the data
Criminal data sets, reports, and networks
etc...

Chapter 3. Extractive forensics: Link analysis and text mining
Data extraction
Link analysis
Link analysis tools
etc...

Chapter 4. Inductive forensics: clustering incidents and crimes
Autonomous forensics
Self-organizing maps
Clustering software
etc...

Chapter 5. Deductive forensics: anticipating attacks and precrime
Artificial intelligence machine learning
Decision trees
Decision tree techniques
etc...

Chapter 6. Fraud detection: on the web, wireless, and in real time
Definition and techniques: where, who, and how
The interviews: the owners, victims, and suspects
The scene of the crime: search for digital evidence
etc...

Chapter 7. Cybersecurity investigations: self-organizing and evolving analysis
What is cybersecurity forensics?
Cybersecurity and risk
Machine learning forensics for cybersecurity
etc..

Chapter 8. Corporate counterintelligence: litigation and competitive investigation 
Corporate counterintelligence
Ratio, trending, and anomaly analysis
E-mail investigations
etc; Includes index P. 307-337
ER  -