Titlebook: Applied Data-Centric Social Sciences; Concepts, Data, Comp Aki-Hiro Sato Book 2014 Springer Japan 2014 Data curation.Extreme events analysi

Armory

Hina Ashraf,Luqman Hakim,Irum ZulfiqarA framework of the applied data-centric social sciences is based on data-centric science. A methodology of data-centric science is very common and applicable to all the types of sciences. In this chapter, we will see a methodology used in applied data-centric sciences commonly.

formula

The Emergence of Blended EAP Professionals,Statistical methods are useful tools to deal with data on socioeconomic-technological systems. In this chapter, we will address fundamental expressions used in statistics and methods of data analysis: time series analysis, network analysis and spatial analysis.

暗指

Giving Feedback and Teaching Self EvaluationThe applied data-centric social sciences are cyber-enabled and require the use of inductive strategies to define problems and challenges. Thus, we require the use of computers to process a large number of data points. In this chapter, we will see how computers can be used to acquire, handle and analyse data.

滋养

https://doi.org/10.1007/978-1-4614-4268-4This chapter addresses future works in applied data-centric social sciences. Rich data on human societies should not only contribute to establishing better understanding of our society but also to developing new services and goods.

吹牛需要艺术

FrameworkA framework of the applied data-centric social sciences is based on data-centric science. A methodology of data-centric science is very common and applicable to all the types of sciences. In this chapter, we will see a methodology used in applied data-centric sciences commonly.

出价

Mathematical ExpressionsStatistical methods are useful tools to deal with data on socioeconomic-technological systems. In this chapter, we will address fundamental expressions used in statistics and methods of data analysis: time series analysis, network analysis and spatial analysis.

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SMART

裤子

Aki-Hiro SatoProvides abundant examples and case studies of data-driven investigations of socio-economic systems.Presents cyber-physical approaches to data-generating processes for real-world problems.Looks at how

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