A Data Mining Approach to Intelligence Operations

Nasrullah Memon, David Hicks, Nicholas Harkiolakis

    Research output: Contribution to journalConference article in JournalResearchpeer-review

    Abstract

    In this paper we examine the latest thinking, approaches and methodologies in use for finding the nuggets of information and subliminal (and perhaps intentionally hidden) patterns and associations that are critical to identify criminal activity and suspects to private and government security agencies.   An emphasis in the paper is placed on Social Network Analysis and Investigative Data Mining, and the use of these technologies in the counterterrorism domain.  Tools and techniques from both areas are described, along with the important tasks for which they can be used to assist with the investigation and analysis of terrorist organizations.  The process of collecting data about these organizations is also considered along with the inherent difficulties that are involved.

    Original languageEnglish
    JournalProgress in Biomedical Optics and Imaging
    Issue number6973
    ISSN1605-7422
    DOIs
    Publication statusPublished - 2008
    EventInternational Conference on Data Mining, Intrusion Detection, Information Assurance, and Data Networks Security 2008 - Orlando, FL, United States
    Duration: 16 Mar 200820 Mar 2008

    Conference

    ConferenceInternational Conference on Data Mining, Intrusion Detection, Information Assurance, and Data Networks Security 2008
    CountryUnited States
    CityOrlando, FL
    Period16/03/200820/03/2008

    Fingerprint Dive into the research topics of 'A Data Mining Approach to Intelligence Operations'. Together they form a unique fingerprint.

  • Cite this