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Advancing Pandemic Prediction With Big Data and Machine Learning - Softcover

 
9786208420550: Advancing Pandemic Prediction With Big Data and Machine Learning

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This book has presented the development of a prediction technique in big data analytics, incorporating both unsupervised and supervised learning perspectives. It has addressed the challenges of handling large volumes of complex data and provided insights into the prediction process. The research findings highlight the performance and applicability of the developed technique in various domains, showcasing its potential for practical implementation. The book contributes to the field of big data analytics by advancing the understanding of prediction techniques and providing recommendations for further research to enhance their capabilities. It has showcased the potential of these techniques to extract meaningful patterns, make accurate predictions, and generate valuable insights from vast and diverse datasets. The research outcomes open up new opportunities for organisations to harness the power of big data and make data-driven decisions that can drive innovation, efficiency, and success.

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Mirza Ghazanfar Beg
ISBN 10: 6208420555 ISBN 13: 9786208420550
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book has presented the development of a prediction technique in big data analytics, incorporating both unsupervised and supervised learning perspectives. It has addressed the challenges of handling large volumes of complex data and provided insights into the prediction process. The research findings highlight the performance and applicability of the developed technique in various domains, showcasing its potential for practical implementation. The book contributes to the field of big data analytics by advancing the understanding of prediction techniques and providing recommendations for further research to enhance their capabilities. It has showcased the potential of these techniques to extract meaningful patterns, make accurate predictions, and generate valuable insights from vast and diverse datasets. The research outcomes open up new opportunities for organisations to harness the power of big data and make data-driven decisions that can drive innovation, efficiency, and success. 164 pp. Englisch. Seller Inventory # 9786208420550

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Ghazanfar Beg, Mirza; Faisal, Mohammad; Kumar Nayak, Sandeep
Published by LAP Lambert Academic Publishing, 2025
ISBN 10: 6208420555 ISBN 13: 9786208420550
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Mirza Ghazanfar Beg
ISBN 10: 6208420555 ISBN 13: 9786208420550
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book has presented the development of a prediction technique in big data analytics, incorporating both unsupervised and supervised learning perspectives. It has addressed the challenges of handling large volumes of complex data and provided insights into the prediction process. The research findings highlight the performance and applicability of the developed technique in various domains, showcasing its potential for practical implementation. The book contributes to the field of big data analytics by advancing the understanding of prediction techniques and providing recommendations for further research to enhance their capabilities. It has showcased the potential of these techniques to extract meaningful patterns, make accurate predictions, and generate valuable insights from vast and diverse datasets. The research outcomes open up new opportunities for organisations to harness the power of big data and make data-driven decisions that can drive innovation, efficiency, and success. Seller Inventory # 9786208420550

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Ghazanfar Beg, Mirza; Faisal, Mohammad; Kumar Nayak, Sandeep
Published by LAP Lambert Academic Publishing, 2025
ISBN 10: 6208420555 ISBN 13: 9786208420550
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Ghazanfar Beg, Mirza; Faisal, Mohammad; Kumar Nayak, Sandeep
Published by LAP Lambert Academic Publishing, 2025
ISBN 10: 6208420555 ISBN 13: 9786208420550
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Ghazanfar Beg, Mirza; Faisal, Mohammad; Kumar Nayak, Sandeep
Published by LAP Lambert Academic Publishing, 2025
ISBN 10: 6208420555 ISBN 13: 9786208420550
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