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Marlene A. Smith
We describe how statistical predictive models might play an expanded role in educational analytics by giving students automated, real-time information about what their current performance means for eventual success in eLearning environments. We discuss h...
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Xianlong Dai, Guang Cheng, Ziyang Yu, Ruixing Zhu and Yali Yuan
The results of this paper can be used in the fields related to network measurement, especially in the fields of network traffic sampling, network traffic measurement, and finding top-k elephant flows.
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Nazmus Saqib, Khandaker Foysal Haque, Venkata Prasanth Yanambaka and Ahmed Abdelgawad
Neural networks have made big strides in image classification. Convolutional neural networks (CNN) work successfully to run neural networks on direct images. Handwritten character recognition (HCR) is now a very powerful tool to detect traffic signals, t...
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Fabio Cumbo, Eleonora Cappelli and Emanuel Weitschek
The recent advancements in cancer genomics have put under the spotlight DNA methylation, a genetic modification that regulates the functioning of the genome and whose modifications have an important role in tumorigenesis and tumor-suppression. Because of...
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Shuang Wang, Guoqing Li, Xiaochuang Yao, Yi Zeng, Lushen Pang and Lianchong Zhang
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Chunyao Qian, Chao Yi, Chengqi Cheng, Guoliang Pu, Xiaofeng Wei and Huangchuang Zhang
With the rapid development of global positioning technologies and the pervasiveness of intelligent mobile terminals, trajectory data have shown a sharp growth trend both in terms of data volume and coverage. In recent years, increasing numbers of LBS (lo...
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Kang Zhao, Baoxuan Jin, Hong Fan, Weiwei Song, Sunyu Zhou and Yuanyi Jiang
Overlay analysis is a common task in geographic computing that is widely used in geographic information systems, computer graphics, and computer science. With the breakthroughs in Earth observation technologies, particularly the emergence of high-resolut...
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Yongchuan Zhang, Jiping Liu, Xinlin Qian, Agen Qiu and Fuhao Zhang
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Fang Huang, Shuanshuan Bu, Jian Tao and Xicheng Tan
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Xintao Liu and Yifang Ban
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Wei Wang, Xiaojing Yao and Jing Chen
Tiled maps are one of the key GIS technologies used in the development and construction of WebGIS in the era of big data; there is an urgent need for high-performance tile map services hosted on big data GIS platforms. To address the current inefficiency...
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Muhammed Oguzhan Külekci and Yasin Öztürk
Non-uniquely-decodable (non-UD) codes can be defined as the codes that cannot be uniquely decoded without additional disambiguation information. These are mainly the class of non?prefix?free codes, where a code-word can be a prefix of other(s), and thus,...
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Changlock Choi and Seong-Yun Hong
The increasing use of mobile devices and the growing popularity of location-based ser-vices have generated massive spatiotemporal data over the last several years. While it provides new opportunities to enhance our understanding of various urban dynamics...
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Jiwei Qin, Liangli Ma and Jinghua Niu
The rapid development of distributed technology has made it possible to store and query massive trajectory data. As a result, a variety of schemes for big trajectory data management have been proposed. However, the factor of data transmission is not cons...
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Congmin Yang, Tao Zhu, Yang Zhang, Huansheng Ning, Liming Chen and Zhenyu Liu
The particle swarm optimization (PSO) algorithm has been widely used in various optimization problems. Although PSO has been successful in many fields, solving optimization problems in big data applications often requires processing of massive amounts of...
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Jadil Alsamiri and Khalid Alsubhi
In recent years, the Internet of Vehicles (IoV) has garnered significant attention from researchers and automotive industry professionals due to its expanding range of applications and services aimed at enhancing road safety and driver/passenger comfort....
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Monia Hamdi, Inès Hilali-Jaghdam, Manal M. Khayyat, Bushra M. E. Elnaim, Sayed Abdel-Khalek and Romany F. Mansour
Data mining (DM) involves the process of identifying patterns, correlation, and anomalies existing in massive datasets. The applicability of DM includes several areas such as education, healthcare, business, and finance. Educational Data Mining (EDM) is ...
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Yi-Quan Li, Hao-Sen Chang and Daw-Tung Lin
In the field of computer vision, large-scale image classification tasks are both important and highly challenging. With the ongoing advances in deep learning and optical character recognition (OCR) technologies, neural networks designed to perform large-...
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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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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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