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projects:year3:14.2 [2019/08/21 14:26]
sally.johnson [Project - Summary]
projects:year3:14.2 [2019/08/22 10:22] (current)
sally.johnson [Project - Documents]
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 ===== Project - Impact and Uses/Benefits ===== ===== Project - Impact and Uses/Benefits =====
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-Early hotspots detection and precise prediction are important in many disciplinesThis project provides scalable spatio-temporal hotspot detection and prediction approaches which are well engineered for big data. The approaches are general and can be applied in various application domains with minimal customizations. +We developed the proposed hybrid HDP-LDA model, and it can improve the performance of sentiment analysis in e-Business application. We tested our prototype system in many open data sets, however, the approach can be easily generalized to the IAB members' data setsThe outcomes of the project provide techniques for easily processing big data in analytic environments. The results of the study improve productivity for extracting greater value from big unstructured data. The modules of the system are implemented in Java languagesThe complete API will be provided in a software package.
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-This system can be beneficial in several applications such as epidemiology, public health, law enforcement, anti-terrorism, marketing (Merging markets, cross selling, and advertisement optimization), etc.+
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 ===== Project - Documents ===== ===== Project - Documents =====
projects/year3/14.2.1566415562.txt.gz · Last modified: 2019/08/21 14:26 by sally.johnson