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Titlebook: ICDSMLA 2020; Proceedings of the 2 Amit Kumar,Sabrina Senatore,Vinit Kumar Gunjan Conference proceedings 2022 The Editor(s) (if applicable)

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書(shū)目名稱ICDSMLA 2020
副標(biāo)題Proceedings of the 2
編輯Amit Kumar,Sabrina Senatore,Vinit Kumar Gunjan
視頻videohttp://file.papertrans.cn/461/460097/460097.mp4
概述Highlights recent advances in artificial intelligence, machine learning, soft computing.Discusses the applications of new emerging technologies for professionals and researchers alike.Includes selecte
叢書(shū)名稱Lecture Notes in Electrical Engineering
圖書(shū)封面Titlebook: ICDSMLA 2020; Proceedings of the 2 Amit Kumar,Sabrina Senatore,Vinit Kumar Gunjan Conference proceedings 2022 The Editor(s) (if applicable)
描述This book gathers selected high-impact articles from the 2nd International Conference on Data Science, Machine Learning & Applications 2020. It highlights the latest developments in the areas of artificial intelligence, machine learning, soft computing, human–computer interaction and various data science and machine learning applications. It brings together scientists and researchers from different universities and industries around the world to showcase a broad range of perspectives, practices and technical expertise.
出版日期Conference proceedings 2022
關(guān)鍵詞Soft Computing; Automation and Innovation; Artificial Intelligence; Medical Informatics; Algorithm Perfo
版次1
doihttps://doi.org/10.1007/978-981-16-3690-5
isbn_softcover978-981-16-3692-9
isbn_ebook978-981-16-3690-5Series ISSN 1876-1100 Series E-ISSN 1876-1119
issn_series 1876-1100
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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Conference proceedings 2022ience and machine learning applications. It brings together scientists and researchers from different universities and industries around the world to showcase a broad range of perspectives, practices and technical expertise.
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,Automatic Notes Generation from?Lecture Videos,enerated transcripts, generating Portable Document Format (PDF) from the text and creating PowerPoint Presentation by extracting important points from the text using K-means clustering and LexRank extractive text summarization.
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Flight Delay Prediction Using Random Forest Classifier,ine learning model (Random Forest Classifier) to predict delay time and probability. As random forest, in general, is robust, more flexible, and makes effective estimates this model will help in improving the overall performance of the system.
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An Analytical Prediction of Breast Cancer Using Machine Learning,ion Tree, K-Nearest Neighbours. Support Vector Classifier and Random forest gave the highest accuracy, Evaluation metrics such are Area Under Curve-Rectified Operational Characteristics curve, confusion matrix, Recall score, accuracy. To avoid overfitting cross validation is used where k fold value is 3.
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1876-1100 m different universities and industries around the world to showcase a broad range of perspectives, practices and technical expertise.978-981-16-3692-9978-981-16-3690-5Series ISSN 1876-1100 Series E-ISSN 1876-1119
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