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

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書目名稱Emerging Technologies in Data Mining and Information Security網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Emerging Technologies in Data Mining and Information Security被引頻次




書目名稱Emerging Technologies in Data Mining and Information Security被引頻次學(xué)科排名




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書目名稱Emerging Technologies in Data Mining and Information Security年度引用學(xué)科排名




書目名稱Emerging Technologies in Data Mining and Information Security讀者反饋




書目名稱Emerging Technologies in Data Mining and Information Security讀者反饋學(xué)科排名

貪婪性

具體

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.

得體

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

抗原

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

粗糙

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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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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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.