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

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Conference proceedings 2021ality 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.

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Non-opioid analgesics in cancer pain relief,e-based and statistical. The existing works suggest that rule-based techniques work better for Bengali stemming. Similarly, POS tagging techniques are categorized as linguistic, statistical, and machine learning-based tagger. Machine learning-based taggers perform better than other approaches of POS tagging for Bengali.

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2194-5357 ommunication, 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.978-981-33-4366-5978-981-33-4367-2Series ISSN 2194-5357 Series E-ISSN 2194-5365

hypnogram

The Advertising Decision of the Firmorganized the speeches and making the scripts are the most important things. And all the description in this work has been described with experience of our own work with speech data. The dataset of this work has exactly 10,992 speech data of 1000 unique words of more than 50 speakers.

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Stenting of Bifurcation Lesions,ves the accuracy of the credit card fraud detection rate further by designing an ensemble model by considering the random forest and generative adversarial networks. Extensive experiments show that the proposed technique outperforms the existing techniques.

preeclampsia

https://doi.org/10.1007/978-981-13-5749-7anged. The test data is compared to each fault class signature to predict fault class. Only (3/20) cycle post-fault signals are analyzed using the proposed classifier to produce 99.4286% prediction accuracy.

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