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Hongfeng Sang, Liyi Ma and Nan Ma
A three-dimensional MOOC analysis framework was developed, focusing on platform design, organizational mechanisms, and course construction. This framework aims to investigate the current situation of big data MOOCs in the intelligent era, particularly fr...
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Otmane Azeroual and Renaud Fabre
Big data have become a global strategic issue, as increasingly large amounts of unstructured data challenge the IT infrastructure of global organizations and threaten their capacity for strategic forecasting. As experienced in former massive information ...
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Nikolaos Vryzas, Nikolaos Tsipas and Charalampos Dimoulas
Radio is evolving in a changing digital media ecosystem. Audio-on-demand has shaped the landscape of big unstructured audio data available online. In this paper, a framework for knowledge extraction is introduced, to improve discoverability and enrichmen...
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Wang Chunjuan,Zhu Xiao
Pág. 4 - 12
With the popularization of mobile terminals, information is becoming more and more unimpeded, along with the advent of the era of big data. It brings both opportunities and challenges to the governance of government network public opinion. Using the lite...
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Wang Chunjuan,Zhu Xiao
Pág. 4 - 12
With the popularization of mobile terminals, information is becoming more and more unimpeded, along with the advent of the era of big data. It brings both opportunities and challenges to the governance of government network public opinion. Using the lite...
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Flora Amato, Stefano Marrone, Vincenzo Moscato, Gabriele Piantadosi, Antonio Picariello and Carlo Sansone
Now, data collection and analysis are becoming more and more important in a variety of application domains, as long as novel technologies advance. At the same time, we are experiencing a growing need for human?machine interaction with expert systems, pus...
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Angkoon Phinyomark and Erik Scheme
The increasing amount of data in electromyographic (EMG) signal research has greatly increased the importance of developing advanced data analysis and machine learning techniques which are better able to handle ?big data?. Consequently, more advanced app...
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Angkoon Phinyomark and Erik Scheme
The increasing amount of data in electromyographic (EMG) signal research has greatly increased the importance of developing advanced data analysis and machine learning techniques which are better able to handle “big data”. Consequently, more ...
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Janet G. Baseman, Debra Revere and Ian Painter
Public health surveillance of communicable diseases depends on timely, complete, accurate, and useful data that are collected across a number of healthcare and public health systems. Health Information Exchanges (HIEs) which support electronic sharing of...
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Juan Camilo Duque-Jaramillo, Eliana María Villa-Enciso
Pág. 27 - 45
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Anahiby Anyel BECERRIL
Pág. 71 - 80
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Abdul Majeed, Xiaohan Zhang and Seong Oun Hwang
Federated learning (FL) is one of the leading paradigms of modern times with higher privacy guarantees than any other digital solution. Since its inception in 2016, FL has been rigorously investigated from multiple perspectives. Some of these perspective...
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Anna Kovacs-Györi, Alina Ristea, Clemens Havas, Michael Mehaffy, Hartwig H. Hochmair, Bernd Resch, Levente Juhasz, Arthur Lehner, Laxmi Ramasubramanian and Thomas Blaschke
Urban systems involve a multitude of closely intertwined components, which are more measurable than before due to new sensors, data collection, and spatio-temporal analysis methods. Turning these data into knowledge to facilitate planning efforts in addr...
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Pwint Phyu Khine and Zhaoshun Wang
The inevitability of the relationship between big data and distributed systems is indicated by the fact that data characteristics cannot be easily handled by a standalone centric approach. Among the different concepts of distributed systems, the CAP theo...
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Jun Xu,Jiming Ye
This review starts with outlining how science and technology evaluated from last century into high throughput science and technology in modern era due to the Nobel-Prize-level inventions of combinatorial chemistry, polymerase chain reaction, and high-thr...
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Jun Xu,Jiming Ye
This review starts with outlining how science and technology evaluated from last century into high throughput science and technology in modern era due to the Nobel-Prize-level inventions of combinatorial chemistry, polymerase chain reaction, and high-thr...
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Ioannis C. Drivas, Damianos P. Sakas, Georgios A. Giannakopoulos and Daphne Kyriaki-Manessi
In the Big Data era, search engine optimization deals with the encapsulation of datasets that are related to website performance in terms of architecture, content curation, and user behavior, with the purpose to convert them into actionable insights and ...
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Chengming Li, Jiaxi Hu, Zhaoxin Dai, Zixian Fan and Zheng Wu
With the arrival of the big data era, mobile phone data have attracted increasing attention due to their rich information and high sampling rate. Currently, researchers have conducted various studies using mobile phone data. However, most existing studie...
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Satoshi Matsuoka,Hitoshi Sato,Osamu Tatebe,Michihiro Koibuchi,Ikki Fujiwara,Shuji Suzuki,Masanori Kakuta,Takashi Ishida,Yutaka Akiyama,Toyotaro Suzumura,Koji Ueno,Hiroki Kanezashi,Takemasa Miyoshi
Pág. 89 - 107
Our claim is that so-called ``Big Data'' will evolve into a new era with proliferation of data from multiple sources such as massive numbers of sensors whose resolution is increasing exponentially, high-resolution simulations generating huge data results...
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Giuseppe Agapito and Mario Cannataro
Technological advances in high throughput platforms for biological systems enable the cost-efficient production of massive amounts of data, leading life science to the Big Data era. The availability of Big Data provides new opportunities and challenges f...
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