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Titlebook: Emerging Technologies in Data Mining and Information Security; Proceedings of IEMIS Aboul Ella Hassanien,Siddhartha Bhattacharyya,Soum Conf

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發(fā)表于 2025-3-21 18:14:02 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱(chēng)Emerging Technologies in Data Mining and Information Security
副標(biāo)題Proceedings of IEMIS
編輯Aboul Ella Hassanien,Siddhartha Bhattacharyya,Soum
視頻videohttp://file.papertrans.cn/309/308446/308446.mp4
概述Presents recent research in the field of data mining and information security.Discusses the outcomes of IEMIS 2020, held in Kolkata, India.Serves as a reference resource for researchers and practition
叢書(shū)名稱(chēng)Advances in Intelligent Systems and Computing
圖書(shū)封面Titlebook: Emerging Technologies in Data Mining and Information Security; Proceedings of IEMIS Aboul Ella Hassanien,Siddhartha Bhattacharyya,Soum Conf
描述.This book features research papers presented at the International Conference on Emerging Technologies in Data Mining and Information Security (IEMIS 2020) held at the University of Engineering & Management, Kolkata, India, during July 2020.?The book is organized in three volumes?and includes high-quality research work by academicians and industrial experts in the field of computing and communication, including full-length papers, research-in-progress papers and case studies related to all the areas of data mining, machine learning, Internet of things (IoT) and information security...?.
出版日期Conference proceedings 2021
關(guān)鍵詞Information Retrieval; Pattern Recognition; Data Science and Data Analytics; Network Security & Telecom
版次1
doihttps://doi.org/10.1007/978-981-15-9927-9
isbn_softcover978-981-15-9926-2
isbn_ebook978-981-15-9927-9Series ISSN 2194-5357 Series E-ISSN 2194-5365
issn_series 2194-5357
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
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https://doi.org/10.1007/978-981-16-2402-5ethod (CM-ESWSA) has been able to recognize the shifting and scaling pattern-based biclusters of better quality. To determine the efficiency of ESWSA and CM-ESWSA, statistical testing and benchmark analysis have also been done and it shows that the proposed method outperforms the basic ESWSA.
地板
發(fā)表于 2025-3-22 05:20:57 | 只看該作者
NeurolncRNA: A Database of LncRNAs Associated with Human Neurodegenerative Diseaseses lncRNA and name of the disease, GC content, genomic context, location, the original reference and additional annotation information. The database provides a user-friendly interface to conveniently browse data. With the rapidly increasing interest in lncRNAs, it will significantly improve our unde
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A Comparative Study on Financial Market Forecasting Using AI: A Case Study on NIFTYtics and can serve as a reliable financial index forecast for stock-market investors. The result obtained was contrasted with each of the algorithms we used, and the recurrent neural systems were found to outflank the current models.
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Emerging Technologies in Data Mining and Information SecurityProceedings of IEMIS
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發(fā)表于 2025-3-22 21:28:33 | 只看該作者
2194-5357 erves as a reference resource for researchers and practition.This book features research papers presented at the International Conference on Emerging Technologies in Data Mining and Information Security (IEMIS 2020) held at the University of Engineering & Management, Kolkata, India, during July 2020
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發(fā)表于 2025-3-23 03:41:58 | 只看該作者
Non-Hausdorff Manifolds and Foliations, are transformed into ordinary differential equations. Matlab built-in solver Bvp4c has been used to solve the resulting non-linear ordinary differential equations. The effects of various parameters on the flow have been discussed and characteristics of heat transfer are determined. The results are shown using graphs and tables.
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發(fā)表于 2025-3-23 05:44:57 | 只看該作者
Sandeep Hans,Zeeshan Fatima,Saif Hameednergy is generated into the system due to energy dissipation. Suitable similarity transformation and numerical technique “MATLAB bvp4c solver technique” has been used to carry out the numerical solutions.
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