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Titlebook: Data Mining and Big Data; 7th International Co Ying Tan,Yuhui Shi Conference proceedings 2022 The Editor(s) (if applicable) and The Author(

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书目名称Data Mining and Big Data
副标题7th International Co
编辑Ying Tan,Yuhui Shi
视频video
丛书名称Communications in Computer and Information Science
图书封面Titlebook: Data Mining and Big Data; 7th International Co Ying Tan,Yuhui Shi Conference proceedings 2022 The Editor(s) (if applicable) and The Author(
描述This two-volume set, CCIS 1744 and CCIS 1745 book constitutes the 7th International Conference, on Data Mining and Big Data, DMBD 2022, held in Beijing, China, in November 21–24, 2022..The 62 full papers presented in this two-volume set included in this book were carefully reviewed and selected from 135 submissions. The papers present the latest research on advantages in theories, technologies, and applications in data mining and big data. The volume covers many aspects of data mining and big data as well as intelligent computing methods applied to all fields of computer science, machine learning, data mining and knowledge discovery, data science, etc..
出版日期Conference proceedings 2022
关键词artificial intelligence; computer hardware; computer networks; computer security; computer vision; correl
版次1
doihttps://doi.org/10.1007/978-981-19-8991-9
isbn_softcover978-981-19-8990-2
isbn_ebook978-981-19-8991-9Series ISSN 1865-0929 Series E-ISSN 1865-0937
issn_series 1865-0929
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
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HOS-YOLOv5: An Improved High-Precision Remote Sensing Image Target Detection Algorithm Based on YOLOon, and different scales of remote sensing images, when they are directly applied to remote sensing images, the detection accuracy of their targets is too low. To this end, we propose HOS-YOLOv5, an improved high-precision remote sensing image target detection algorithm based on YOLOV5, construct th
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A Better Linear Model Than Regression-Line for Data-Mining Applicationsin then the regression-line does not rotate by the same angle . except for the special case when all .’s are collinear. This makes the regression-line unsuitable as a linear model of a set of data points for applications in data mining and machine learning. We present an alternative linear model tha
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Research Hotspots, Emerging Trend and Front of Fraud Detection Research: A Scientometric Analysis (1erging trends in this field. Besides scientific outputs evaluation using statistical analysis and comparative analysis, scientometric methods such as co-occurrence analysis, cocitation analysis, and coupling analysis were used to analyze the knowledge structure of Fraud detection. Results showed tha
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An Algorithm of Set-Based Differential Evolution for Discrete Optimization Problemed for continuous optimization problem. Extending approaches in continuous space to these in discrete space with set-based representation schemes, differential evolution can adopt to discrete optimization problem. A candidate solution is defined by a crisp set and all arithmetic operations in mutati
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Multi-objective Optimization Technique for RSU Deployment in the VANET. Roadside unit (RSU) complicated location, however, has an impact on the RSU network in terms of time delay, transmission efficiency, etc., making it challenging to use large-scale RSU networks. In view of this, a cooperative transmission framework is devised for data transmission in V
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