| Description |
1 online resource (xvi, 452 pages) : illustrations |
| Physical Medium |
polychrome |
| Description |
text file |
| Bibliography |
Includes bibliographical references and index. |
| Contents |
Pre-Crime Data Mining -- Investigative Data Warehousing -- Link Analysis: Visualizing Associations -- Intelligent Agents: Software Detectives -- Text Mining: Clustering Concepts -- Neural Networks: Classifying Patterns -- Machine Learning: Developing Profiles -- NetFraud: A Case Study -- Criminal Patterns: Detection Techniques -- Intrusion Detection: Techniques and Systems -- An Entity Validation System (EVS): A Conceptual Architecture -- Mapping Crime: Clustering CaseWork -- Appendix A: 1,000 Online Sources for the Forensic Data Miner 00 Appendix B: Intrusion Detection Systems (IDS) Products, Services, Freeware and Projects. |
| Local Note |
eBooks on EBSCOhost EBSCO eBook Subscription Academic Collection - North America |
| Subject |
Data mining.
|
|
Data mining. |
|
Computer security.
|
|
Computer security. |
|
Crime prevention.
|
|
Crime prevention. |
| Genre/Form |
Electronic books.
|
| Other Form: |
Print version: Mena, Jesus. Investigative data mining for security and criminal detection. Amsterdam ; Boston, MA : Butterworth-Heinemann, ©2003 0750676132 9780750676137 (DLC) 2002043619 (OCoLC)51171911 |
| ISBN |
9780080509389 (electronic book) |
|
008050938X (electronic book) |
|
0750676132 (paperback ; alkaline paper) |
|
