Titlebook: ICDSMLA 2019; Proceedings of the 1 Amit Kumar,Marcin Paprzycki,Vinit Kumar Gunjan Conference proceedings 2020 Springer Nature Singapore Pte

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书目名称ICDSMLA 2019影响因子(影响力)学科排名




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书目名称ICDSMLA 2019网络公开度学科排名




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书目名称ICDSMLA 2019被引频次学科排名




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书目名称ICDSMLA 2019年度引用学科排名




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书目名称ICDSMLA 2019读者反馈学科排名

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Study of K-Means Clustering Algorithm for Identification of Dengue Fever Hotspots, analysis is one of the most extensively used statistical data analysis due to its extensive use in machine learning. Clustering techniques can be integrated to determine potential real-world areas of infectious diseases. This paper presents the application of K-means in disease surveillance. K-mean

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WhatsApp: A Business Tool in Unorganized Retail with Reference to TAM,The popularity and importance of social media has been on the rise due to various benefits they offer to the different stakeholders. The benefits include ease of exchange of communication (text, voice, pictures and video), lowering of communication costs and seamless connectivity. The purpose of thi

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A Framework for the RNA-Seq Based Classification and Prediction of Disease,itioners for the early detection of disease and support them as a computer-aided diagnostic tool for accurate diagnosis, prognosis, and treatment of disease. Earlier Microarray gene expression data have wide application for the classification of disease, but now Next-generation sequencing (NGS) has

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