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Titlebook: Data Science and Big Data Analytics; Proceedings of IDBA Durgesh Mishra,Xin She Yang,Dharm Singh Jat Conference proceedings 2024 The Edito

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書目名稱Data Science and Big Data Analytics
副標(biāo)題Proceedings of IDBA
編輯Durgesh Mishra,Xin She Yang,Dharm Singh Jat
視頻videohttp://file.papertrans.cn/264/263084/263084.mp4
概述Presents research works in the field of data science and big data analytics.Provides original works presented at IDBA 2023 held in Indore, India.Serves as a reference for researchers and practitioners
叢書名稱Data-Intensive Research
圖書封面Titlebook: Data Science and Big Data Analytics; Proceedings of IDBA  Durgesh Mishra,Xin She Yang,Dharm Singh Jat Conference proceedings 2024 The Edito
描述.This book features high-quality research papers presented at the Third International Conference on Data Science and Big Data Analytics (IDBA 2023), organized by Sri Aurobindo Institute of Technology, Indore, India, in association with ACM and IEEE Computer Society in hybrid mode during June 16–17, 2023. This book discusses the topics such as data science, artificial intelligence, machine learning, quantum computing, big data and cloud security, computation security, big data security, information security, forecasting, data analytics, mathematics for data science, graph theory and application in data science, data visualization, computer vision, and analytics for social networks..
出版日期Conference proceedings 2024
關(guān)鍵詞Data Science; Big Data; Machine Learning; Analytics for Social Networks; Knowledge representation; Comput
版次1
doihttps://doi.org/10.1007/978-981-99-9179-2
isbn_softcover978-981-99-9181-5
isbn_ebook978-981-99-9179-2Series ISSN 2731-555X Series E-ISSN 2731-5568
issn_series 2731-555X
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
The information of publication is updating

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Brian Sherwood Jones,Jonathan Earthylic and private sector banks in Rajasthan (India). In Initial Analysis, the prediction is made by the regression model and in the second phase normalized importance of four predictors was using through neural networks particularly Artificial Neural Network (ANN). The findings are helpful for decisio
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Composing Model-Based Analysis Toolsonal codes is the main objective of this research work with large free distance, so more errors can be detected and corrected. Data and information sent over the channel are secured by the error detection and correction code for storage as well as recover even in the presence of noise. Ternary compu
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Composing Model-Based Analysis Toolsn used SuperTML (tabular machine learning) and CNN models to predict water potability efficiently. Data are collected and pre-processing is done using SMOTE analysis. It involves projection of features into two-dimensional embeddings that resemble images for every input of processed data, and the re
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https://doi.org/10.1007/978-1-4419-7148-7concentrates on minimizing the cyber-attacks through double encryption of file when uploaded in cloud. The experimental results prove that the proposed method has less computational time and minimized false positive rate when compared to the base schemes.
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Prediction of Customer Satisfaction in E-banking Services Through Neural Network Approach,lic and private sector banks in Rajasthan (India). In Initial Analysis, the prediction is made by the regression model and in the second phase normalized importance of four predictors was using through neural networks particularly Artificial Neural Network (ANN). The findings are helpful for decisio
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