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Full-Text Articles in Computer Sciences
Identifying Terrorist Affiliations Through Social Network Analysis Using Data Mining Techniques, Govand A. Ali
Identifying Terrorist Affiliations Through Social Network Analysis Using Data Mining Techniques, Govand A. Ali
Information Technology Master Theses
In a technologically enabled world, local ideologically inspired warfare becomes global all too quickly, specifically terrorist groups like Al Quaeda and ISIS (Daesh) have successfully used modern computing technology and social networking environments to broadcast their message, recruit new members, and plot attacks. This is especially true for such platforms as Twitter and encrypted mobile apps like Telegram or the clandestine Alrawi. As early detection of such activity is crucial to attack prevention data mining techniques have become increasingly important in the fight against the spread of global terrorist activity. This study employs data mining tools to mine Twitter for …
Novel Machine Learning Methods For Modeling Time-To-Event Data, Bhanukiran Vinzamuri
Novel Machine Learning Methods For Modeling Time-To-Event Data, Bhanukiran Vinzamuri
Wayne State University Dissertations
Predicting time-to-event from longitudinal data where different events occur at different time points is an extremely important problem in several domains such as healthcare, economics, social networks and seismology, to name a few. A unique challenge in this problem involves building predictive models from right censored data (also called as survival data). This is a phenomenon where instances whose event of interest are not yet observed within a given observation time window and are considered to be right censored. Effective models for predicting time-to-event labels from such right censored data with good accuracy can have a significant impact in these …