Obtaining Actionable Intelligence for CINDER Threat Detection using DMX Mining Models

by Kent Stern

Course 1 of 4: Prerequisite Training for students needing to meet base coding and/or solution requirements. This 40 hour lab based training manual is available for students as a prerequisite course to purchase prior to taking courses 2-4 of the instructor led series - Obtaining Actionable Intelligence for CINDER Threat Detection using DMX Mining Models (Data Mining Extensions)

This lab manual is not intended for self-study as the databases and additional virtual machines are not included and are only available to students attending the course.

306 pages, Paperback

First published November 4, 2002

About the author

As Director and Lead Data Mining Security Architect for CodeCenters International, you will find him resolving infrastructure security issues between long haul flights and teaching information intelligence to the next generation of data architects. For the last 30 years, his work has focused on data architecture, pre and post incident/attack reconciliation and AML auditing. In the classroom, he’s known for his creative teaching methods for analyzing everything from high volume enterprise packet flows to insider threats. He randomly quotes “one-liners” from dubious sources and refers back to his calculations and mining models as a basis for all things to be reconciled and true. He has worked in niche areas ranging from anti-money laundering to ship tracking and lectures on advanced analysis methods for the same. In keeping with his background, his writing follows the ever-changing technology world and the lives of the diverse people who work in the field of data analysis and enterprise reconciliation.

“Without data you’re just another person with an opinion”


Kent Stern
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