Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Fraud and terrorism have a close connect in terms of the processes that enables and promote them. In the era of Internet, its various services that include b, e-mail, social networks, blogs, instant messaging, chats, etc. are used in terrorism not only for communication but also for i) creation of ideology, ii) resource gathering, iii) recruitment, indoctrination and training, iv) creation of terror network, and v) information gathering. A major challenge for law enforcement and intelligence agencies is efficient and accurate gathering of relevant and growing volume of crime data.  reports on use of established Naive Bayesian filter for classification of threat e-mails. Efficiency in filtering threat e-mail by use of three different Naive Bayesian filter approaches i.e. single keywords, ighted multiple keywords and ighted multiple keywords with keyword context matching are evaluated on a threat e-mail corpus created by extracting data from sources that are very close to terrorism.
['M. Tariq Banday', 'Jameel A. Qadri', 'Tariq R. Jan', 'Nisar A. Shah']
I am writing a research paper on a idea Detecting Threat E-mails using Bayesian Approach
[{"from": "human", "value": "I am writing a research paper on a idea Detecting Threat E-mails using Bayesian Approach"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Fraud and terrorism have a close connect in terms of the processes that enables and promote them. In the era of Internet, its various services that include b, e-mail, social networks, blogs, instant messaging, chats, etc. are used in terrorism not only for communication but also for i) creation of ideology, ii) resource gathering, iii) recruitment, indoctrination and training, iv) creation of terror network, and v) information gathering. A major challenge for law enforcement and intelligence agencies is efficient and accurate gathering of relevant and growing volume of crime data.  reports on use of established Naive Bayesian filter for classification of threat e-mails. Efficiency in filtering threat e-mail by use of three different Naive Bayesian filter approaches i.e. single keywords, ighted multiple keywords and ighted multiple keywords with keyword context matching are evaluated on a threat e-mail corpus created by extracting data from sources that are very close to terrorism."}]