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Titlebook: Big Data Analytics; 8th International Co Ladjel Bellatreche,Vikram Goyal,P. Krishna Reddy Conference proceedings 2020 Springer Nature Switz

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期刊全称Big Data Analytics
期刊简称8th International Co
影响因子2023Ladjel Bellatreche,Vikram Goyal,P. Krishna Reddy
视频video
学科分类Lecture Notes in Computer Science
图书封面Titlebook: Big Data Analytics; 8th International Co Ladjel Bellatreche,Vikram Goyal,P. Krishna Reddy Conference proceedings 2020 Springer Nature Switz
影响因子This book constitutes the proceedings of the 8th International Conference on Big Data Analytics, BDA 2020, which took place during December 15-18, 2020, in Sonepat, India. The 11 full and 3 short papers included in this volume were carefully reviewed and selected from 48 submissions; the book also contains 4 invited and 3 tutorial papers. The contributions were organized in topical sections named as follows: data science systems; data science architectures; big data analytics in healthcare; information interchange of Web data resources; and business analytics..
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Study and Understanding the Significance of Multilayer-ELM Feature Spacee of its good characteristics such as being able to manage a huge volume of data, no backpropagation, faster learning speed, maximum level of data abstraction etc. Another distinct feature of Multi-layer ELM is that it can be able to make the input features linearly separable by mapping them non-lin
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Spectral Learning of Semantic Units in a Sentence Pair to Evaluate Semantic Textual Similarityal Language Processing (NLP) tasks. Due to the wide application range of STS in many fields, there is a constant demand for new methods as well as improvement in current methods. A surge of unsupervised and supervised systems has been proposed in this field but they pose a limitation in terms of sca
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i-Fence: A Spatio-Temporal Context-Aware Geofencing Framework for Triggering Impulse Decisionsternet-driven Context-Aware Recommender Systems (CARS) have been used by big brands like Amazon, Uber and Walmart for promoting sales and boosting revenues. This paper argues about the relevance of contextual information for any recommender system. A smartphone-based CARS framework was proposed to r
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Face Mask Detection Using Transfer Learning of InceptionV3rganization (WHO) for protection against the spread of coronavirus. According to WHO, the most effective preventive measure against COVID-19 is wearing a mask in public places and crowded areas. It is very difficult to monitor people manually in these areas. In this paper, a transfer learning model
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A Transfer Learning Approach to Classify the Brain Age from MRI Imagesomarker for the onset of brain-related problems. Artificial Intelligence (AI) based Convolutional Neural Networks (CNN) is used to detect brain-related problems in MRI images. However, conventional CNN is a complex architecture and the time to process the image, large data requirement and overfittin
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‘Precision Health’: Balancing Reactive Care and Proactive Care Through the Evidence Based Knowledge y members on suspecting illness. In Proactive care an individual seeks medical help before the appearance of symptoms in order to prevent illness, or detect and treat it early before the disease progresses or becomes chronic. There are advantages and disadvantages for both of these approaches. React
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Prediction for the Second Wave of COVID-19 in Indiaan Government, the active cases in India are rapidly increasing everyday. In this context, this paper carries out the comprehensive study of active COVID-19 cases in four states of India namely, Maharashtra, Kerala, Gujarat and Delhi, and predicts the arrival of second wave of COVID-19 in India. Fur
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