ch. 1. What is machine learning forensics? -- ch. 2. Digital investigative maps and models : strategies and techniques -- ch. 3. Extractive forensics : link analysis and text mining -- ch. 4. Inductive forensics : clustering incidents and crimes -- ch. 5. Deductive forensics : anticipating attacks and precrime -- ch. 6. Fraud detection : on the Web, wireless, and in real time -- ch. 7. Cybersecurity investigations : self-organizing and evolving analyses -- ch. 8. Corporate counterintelligence : litigation and competitive investigations.