Towards Area-Smart Data Science: Critical Questions for Working with Big Data from China

Stockmann, Daniela

doi:10.2139/ssrn.2718120

Cited by 2 publications

(1 citation statement)

References 49 publications

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“…For any incoming message that represents the data collected from any data source will be passed through the gateway to the analytic servers via the internet connection such as WIFI or LAN networks, and this data will use a higher level protocol, such as CoAp1or MQTT (Stockmann, 2016). The concept of "data agents" goes over the agents or customs agents that collect data.…”

Section: Data Collectionmentioning

confidence: 99%

Big Data Interoperability for E-Governance

Mahmoud¹,

Omar²,

Ouksel³

2019

Journal of Computer Science

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The notion of governance is innate to any society in the word. The use of big-data allow governance as a competitive advantage to attract resources, with the emergence of the social web and exponential data generated accordingly. Such social web and exponential data can be analyzed to give the enlightened human beings about the good governance and maintain an intelligent global state of mega cities. The government agencies should collect data from heterogeneous sources. To improve the services and applications, these agencies offer the citizens and businesses, through big data analytics, which is a global opportunity to integrate a large number of public databases together, fraud detection and tax control activities. The impact of big data on these e-government applications strives to facilitate better governance by demonstrating its use in research and practice. Therefore, the current paper zeroes in on an approach based on the interoperability and integration of big data. In our approach, such data is gathered from several separate and heterogeneous government sources.

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Section: Data Collectionmentioning

confidence: 99%