1,721,101 research outputs found

    Evolution of Terrorist Network using Clustered approach: A Case study

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    In the paper we present a cluster based approach for terrorist network evolution. We have applied hierarchical agglomerative clustering approach to 9/11 case study. We show that, how individual actors who are initially isolated from each other are converted in small clusters and result in a fully evolved network. This method of network evolution can help intelligence security analysts to understand the structure of the network

    Evolution of Terrorist Network using Clustered approach: A Case study

    No full text
    In the paper we present a cluster based approach for terrorist network evolution. We have applied hierarchical agglomerative clustering approach to 9/11 case study. We show that, how individual actors who are initially isolated from each other are converted in small clusters and result in a fully evolved network. This method of network evolution can help intelligence security analysts to understand the structure of the network

    Statistical Model for Content Extraction

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    We present a statistical model for content extraction from HTML documents. The model operates on Document Object Model (DOM) tree of the corresponding HTML document. It evaluates each tree node and associated statistical features to predict significance of the node towards overall content of the document. The model exploits feature set including link densities and text distribution across the nodes of DOM tree. We describe the validity of model with the help of experiments conducted on the standard data sets. The results revealed that the proposed model outperformed other state of art models. We also describe the significance of the model in the domain of counterterrorism and open source intelligence
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