Titlebook: Emerging Technologies in Data Mining and Information Security; Proceedings of IEMIS Paramartha Dutta,Satyajit Chakrabarti,Celia Shahna Conf

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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

consolidate

IOT Security: Recent Trends and Challengese usage of multiple technologies like Artificial Intelligence, Machine Learning, Data Mining methods, etc., there is a need to provide proper security to the IoT system also. Several layers used in the IoT architecture need to be protected. Hence, there is a need to make a robust system in order to

Adenoma

Assistive Technology for Pedagogical Support and Application of Data Analysis in Neurodevelopmental me efficiently. Computer-assisted pedagogical support may be finely tailored to serve children as well as educators across the disability spectrum in special education setup. In this paper, the authors aim to review the major existing research works carried out in this field of EDM at international

FLAX

蜿蜒而流

Startup Profit Predictor Using Machine Learning Techniquesre done. The data was split for training and testing and the score of the model obtained on the test dataset was 0.9691. The startup profit predictor was successfully built using random forest regressor model and it can be used for making profit predictions with 96.91% accuracy.

合法

Right to Be Forgotten in a Post-AI World: How Effective is This Right Where Machines Do not Forget?s details regarding the usage of the data. In this paper, the authors have analysed the right to be forgotten in the context of AI and explored legal provisions in the light of how far this right can be exercised with AIs.

合法

中古

使人入神

Covid-19 Prediction Analysis Using Machine Learning Approachfrom initial symptoms and information like fever, cough, sore throat using machine learning algorithms. The study includes working with six predicting models, MLP, GBC, Decision tree, SVM, Logistic Regression and Random forest with highest accuracy of 92.94% achieved in logical regression. The resul

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