Investigative Data Mining For Security And Criminal Detection

Investigative Data Mining for Security and Criminal Detection is the first bookto outline how data mining technologies can be used to combat crime in the 21stce... » 

Investigative Data Mining for Security and Criminal Detection is the first bookto outline how data mining technologies can be used to combat crime in the 21stcentury. It introduces security managers law enforcement investigatorscounterintelligence agents fraud specialists and information securityanalysts to the latest data mining techniques and shows how they can be used asinvestigative tools. Readers will learn how to search public and privatedatabases and networks to flag potential security threats and root out criminalactivities even before they occur.The groundbreaking book reviews the latest data mining technologies includingintelligent agents link analysis text mining decision trees selforganizingmaps machine learning and neural networks. Using clear understandablelanguage it explains the application of these technologies in such areas ascomputer and network security fraud prevention law enforcement and nationaldefense. International case studies throughout the book further illustrate howthese technologies can be used to aid in crime prevention.Investigative Data Mining for Security and Criminal Detection will also serveas an indispensable resource for software developers and vendors as they designnew products for the law enforcement and intelligence communities.Key Features Covers cuttingedge data mining technologies available to use in evidencegathering and collection Includes numerous case studies diagrams and screen captures to illustraterealworld applications of data mining Easytoread format illustrates current and future data mining uses inpreventative law enforcement criminal profilingcounterterrorist initiativesand forensic science Introduces cuttingedge technologies in evidence gathering and collectionusing clear nontechnical language Illustrates current and future applications of data mining tools inpreventative law enforcement homeland securit «