About this document
Data Mining for Terrorism Threats by bensujin is a document available to read on EtoBox.
This document proposes a soft computing model using a competitive neural tree (CNet) for knowledge mining and organizing evidence ("trifles") to generate, validate, or negate hypotheses about terrorist threats. The CNet is a decision tree where each node contains a neural network that performs pattern recognition on input evidence encoded in interactive XML files. The model aims to automate the process of hypothesis generation by organizing large amounts of intelligence data to help analysts discover new co
- Author
- bensujin
- Language
- EN