Electronic Resource
Terrorist Activity Evaluation and Pattern Detection (TAE&PD) in Afghanistan: A Knowledge Discovery and Data Mining (KDDM) Approach for Counter-Terrorism
| العنوان: | Terrorist Activity Evaluation and Pattern Detection (TAE&PD) in Afghanistan: A Knowledge Discovery and Data Mining (KDDM) Approach for Counter-Terrorism |
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| المؤلفون: | POLYTECHNIC UNIV OF PUERTO RICO SAN JUAN, Pou, Jose, Duffany, Jeff, Cruz, Alfredo |
| المصدر: | DTIC |
| بيانات النشر: | 2012-08-28 |
| نوع الوثيقة: | Electronic Resource |
| مستخلص: | Data mining (DM) is primarily used by businesses to discover customer tendencies to guarantee future profit opportunities. In the TAE&PD project we intend to incorporate a KDDM methodology using open source applications to gather, preprocess, model, evaluate and identify patterns of terrorism activity that may prove useful to counter-terrorism and strengthen homeland security in Afghanistan. We will experiment using real terrorism incidents data from the Worldwide Incidents Tracking System (WITS) of the National Counterterrorism Center (NCTC). The project seeks to discover terrorism trends based on specific incident factors, help in the evaluation of war in Afghanistan and demonstrate a KDDM approach that could be applied (proof of concept) to national security. Project results may uncover valuable information regarding terrorist hot spots to determine geographical mobilization of security forces resources in the region. The original document contains color images. |
| مصطلحات الفهرس: | Information Science, Cybernetics, Unconventional Warfare, COUNTERTERRORISM, DATA MINING, CLUSTERING, DATA PROCESSING, STATISTICS, TIME SERIES ANALYSIS, TAE&PD(TERRORIST ACTIVITY EVALUATION AND PATTERN DETECTION), KDDM(TERRORIST ACTIVITY EVALUATION AND PATTERN DETECTION), NCTC(NATIONAL COUNTERTERRORISM CENTER), WITS(WORLDWIDE INCIDENTS TRACKING SYSTEM), DATABASES, MACHINE LEARNING, VISUALIZATION, DATA PREPROCESSING, CLUSTERING ANALYSIS, ASSOCIATION RULES ANALYSIS, PE206022, Text |
| URL: | |
| الاتاحة: | Open access content. Open access content Approved for public release; distribution is unlimited. |
| ملاحظة: | text/html English |
| Other Numbers: | DTICE ADA581564 872733750 |
| المصدر المساهم: | From OAIster®, provided by the OCLC Cooperative. |
| رقم الانضمام: | edsoai.ocn872733750 |
| قاعدة البيانات: | OAIster |
| الوصف غير متاح. |