This study proposes an architecture for the prediction of extremist human behaviour from projected suicide bombings.By linking‘dots’of police data comprising scattered information of people,groups,logistics,location...This study proposes an architecture for the prediction of extremist human behaviour from projected suicide bombings.By linking‘dots’of police data comprising scattered information of people,groups,logistics,locations,communication,and spatiotemporal characters on different social media groups,the proposed architecture will spawn beneficial information.This useful information will,in turn,help the police both in predicting potential terrorist events and in investigating previous events.Furthermore,this architecture will aid in the identification of criminals and their associates and handlers.Terrorism is psychological warfare,which,in the broadest sense,can be defined as the utilisation of deliberate violence for economic,political or religious purposes.In this study,a supervised learning-based approach was adopted to develop the proposed architecture.The dataset was prepared from the suicide bomb blast data of Pakistan obtained from the South Asia Terrorism Portal(SATP).As the proposed architecture was simulated,the supervised learning-based classifiers na飗e Bayes and Hoeffding Tree reached 72.17%accuracy.One of the additional benefits this study offers is the ability to predict the target audience of potential suicide bomb blasts,which may be used to eliminate future threats or,at least,minimise the number of casualties and other property losses.展开更多
STATE leaders from 189 countries that attended the Millennium Summit in 2000 adopted the UN Millennium Declaration,and so committed to helping achieve the eight millennium development goals.The first was to eradicate ...STATE leaders from 189 countries that attended the Millennium Summit in 2000 adopted the UN Millennium Declaration,and so committed to helping achieve the eight millennium development goals.The first was to eradicate extreme poverty and hunger.In an interview with Chinese media in 2011,UN Secretary-General Ban Ki-moon said that China’s"remarkable progress"had"contributed to our global MDG results,"notably in helping the world to"lift at least half of the extremely poor people out of poverty."展开更多
文摘This study proposes an architecture for the prediction of extremist human behaviour from projected suicide bombings.By linking‘dots’of police data comprising scattered information of people,groups,logistics,locations,communication,and spatiotemporal characters on different social media groups,the proposed architecture will spawn beneficial information.This useful information will,in turn,help the police both in predicting potential terrorist events and in investigating previous events.Furthermore,this architecture will aid in the identification of criminals and their associates and handlers.Terrorism is psychological warfare,which,in the broadest sense,can be defined as the utilisation of deliberate violence for economic,political or religious purposes.In this study,a supervised learning-based approach was adopted to develop the proposed architecture.The dataset was prepared from the suicide bomb blast data of Pakistan obtained from the South Asia Terrorism Portal(SATP).As the proposed architecture was simulated,the supervised learning-based classifiers na飗e Bayes and Hoeffding Tree reached 72.17%accuracy.One of the additional benefits this study offers is the ability to predict the target audience of potential suicide bomb blasts,which may be used to eliminate future threats or,at least,minimise the number of casualties and other property losses.
文摘STATE leaders from 189 countries that attended the Millennium Summit in 2000 adopted the UN Millennium Declaration,and so committed to helping achieve the eight millennium development goals.The first was to eradicate extreme poverty and hunger.In an interview with Chinese media in 2011,UN Secretary-General Ban Ki-moon said that China’s"remarkable progress"had"contributed to our global MDG results,"notably in helping the world to"lift at least half of the extremely poor people out of poverty."
