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Inhaltsangabe
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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- VerlagLAP Lambert Academic Publishing
- Erscheinungsdatum2025
- ISBN 10 6208420555
- ISBN 13 9786208420550
- EinbandTapa blanda
- SpracheEnglisch
- Anzahl der Seiten164
- Kontakt zum HerstellerNicht verfügbar
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Advancing Pandemic Prediction With Big Data and Machine Learning
Verlag:
Omniscriptum, LAP Lambert Academic Publishing, 2025
ISBN 10: 6208420555
ISBN 13: 9786208420550
Neu
Taschenbuch
Anbieter: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Deutschland
Verkäuferbewertung 5 von 5 Sternen
Taschenbuch. Zustand: 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. Bestandsnummer des Verkäufers 9786208420550
Anzahl: 2 verfügbar
Beispielbild für diese ISBN
Advancing Pandemic Prediction With Big Data and Machine Learning : Early Pandemic Prediction with Big Data: Unified Approach Using Supervised & Unsupervised Learning. DE
Verlag:
Omniscriptum, LAP Lambert Academic Publishing, 2025
ISBN 10: 6208420555
ISBN 13: 9786208420550
Neu
Taschenbuch
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Verkäuferbewertung 5 von 5 Sternen
Taschenbuch. Zustand: 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. Bestandsnummer des Verkäufers 9786208420550
Anzahl: 2 verfügbar