توضیحات
ABSTRACT
With the explosion of social media sites and proliferation of digital computing devices and Internet access, massive amounts of public data is being generated on a daily basis. Efficient techniques/algorithms to analyze this massive amount of data can provide near real-time information about emerging trends and provide early warning
in case of an imminent emergency (such as the outbreak of a viral disease). In addition, careful mining of these data can reveal many useful indicators of socioeconomic and political events, which can help in establishing effective public policies. The focus of this study is to review the application of big data analytics for the purpose of human
development. The emerging ability to use big data techniques for development(BD4D) promises to revolutionalize healthcare, education, and agriculture; facilitate the alleviation of poverty; and help to deal with humanitarian crises and violent conflicts. Besides all the benefits, the large-scale deployment of BD4D is beset with several
challenges due to the massive size, fast-changing and diverse nature of big data. The most pressing concerns relate to efficient data acquisition and sharing, establishing of context (e.g., geolocation and time) and veracity of a dataset, and ensuring appropriate privacy. In this study, we provide a review of existing BD4D work to study the impact of big data on the development of society. In addition to reviewing the important works we also highlight important challenges and open issues,
INTRODUCTION
In the modern world we are inundated with data, with companies such as Google and Facebook dealing with petabytes of data [1]. Google processes more than 24 petabytes of data per day, while Facebook, a company founded a decade ago, gets more than 10 million photos per hour. The glut of data, buoyed by fast advancing technology, is increasing exponentially due to increased digitization of all aspects of modern life (using technologies
such as the Internet of Things (IoT) [2]–which uses sensors, for example in the shape of wearable devices, to provide data related to human activities and different behavioral patterns). It is estimated that we are generating 2.5 quintillion bytes per day (we note here that a quintillion bytes, or an exabyte, is equal to 1018 bytes) [3]. The presence of “big data”, or this massive amount of increasing
Year : 2016
Publisher : BioMed central
By : Anwaar Ali, Junaid Qadir*, Raihan ur Rasool, Arjuna Sathiaseelan, Andrej Zwitter and Jon Crowcroft
File Information : English Language / 24 Page / Size : 430 K
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سال : 2016
ناشر : BioMed central
کاری از : Anwaar Ali, Junaid Qadir*, Raihan ur Rasool, Arjuna Sathiaseelan, Andrej Zwitter and Jon Crowcroft
اطلاعات فایل : زبان انگلیسی / 24 صفحه / حجم : 430 K
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