Sinopsis
The present Reprint contains all 13 articles accepted and published in the Special Issue "Data Mining and Machine Learning in the Era of Big Knowledge and Large Models, 2026" of the MDPI Mathematics journal, which covers a wide range of topics connected to the theory, models, algorithms and applications related to advancing data mining and machine learning in the current age. The topics of these articles focus on Transformer-based named entity recognition, knowledge recommendation, time series analysis, model integration, data quality improvement, hallucinations, and innovative application development. We hope that the Reprint will be both interesting and useful for those working in the area of data mining and machine learning, as well as for those with the proper mathematical background and a willingness to become familiar with recent advances in this field.
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Data Mining and Machine Learning in the Era of Big Knowledge and Large Models (Hardcover)
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Hardcover. Condición: new. Hardcover. The present Reprint contains all 13 articles accepted and published in the Special Issue "Data Mining and Machine Learning in the Era of Big Knowledge and Large Models, 2026" of the MDPI Mathematics journal, which covers a wide range of topics connected to the theory, models, algorithms and applications related to advancing data mining and machine learning in the current age. The topics of these articles focus on Transformer-based named entity recognition, knowledge recommendation, time series analysis, model integration, data quality improvement, hallucinations, and innovative application development. We hope that the Reprint will be both interesting and useful for those working in the area of data mining and machine learning, as well as for those with the proper mathematical background and a willingness to become familiar with recent advances in this field. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Nº de ref. del artículo: 9783725866441
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Data Mining and Machine Learning in the Era of Big Knowledge and Large Models
Librería: California Books, Miami, FL, Estados Unidos de America
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Data Mining and Machine Learning in the Era of Big Knowledge and Large Models
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Data Mining and Machine Learning in the Era of Big Knowledge and Large Models
Impresión bajo demandaLibrería: Majestic Books, Hounslow, Reino Unido
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Data Mining and Machine Learning in the Era of Big Knowledge and Large Models
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Data Mining and Machine Learning in the Era of Big Knowledge and Large Models
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Data Mining and Machine Learning in the Era of Big Knowledge and Large Models (Hardcover)
Impresión bajo demandaLibrería: CitiRetail, Stevenage, Reino Unido
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Hardcover. Condición: new. Hardcover. The present Reprint contains all 13 articles accepted and published in the Special Issue "Data Mining and Machine Learning in the Era of Big Knowledge and Large Models, 2026" of the MDPI Mathematics journal, which covers a wide range of topics connected to the theory, models, algorithms and applications related to advancing data mining and machine learning in the current age. The topics of these articles focus on Transformer-based named entity recognition, knowledge recommendation, time series analysis, model integration, data quality improvement, hallucinations, and innovative application development. We hope that the Reprint will be both interesting and useful for those working in the area of data mining and machine learning, as well as for those with the proper mathematical background and a willingness to become familiar with recent advances in this field. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Nº de ref. del artículo: 9783725866441
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Data Mining and Machine Learning in the Era of Big Knowledge and Large Models (Hardcover)
Impresión bajo demandaLibrería: AussieBookSeller, Truganina, VIC, Australia
Calificación del vendedor: 5 de 5 estrellas
Hardcover. Condición: new. Hardcover. The present Reprint contains all 13 articles accepted and published in the Special Issue "Data Mining and Machine Learning in the Era of Big Knowledge and Large Models, 2026" of the MDPI Mathematics journal, which covers a wide range of topics connected to the theory, models, algorithms and applications related to advancing data mining and machine learning in the current age. The topics of these articles focus on Transformer-based named entity recognition, knowledge recommendation, time series analysis, model integration, data quality improvement, hallucinations, and innovative application development. We hope that the Reprint will be both interesting and useful for those working in the area of data mining and machine learning, as well as for those with the proper mathematical background and a willingness to become familiar with recent advances in this field. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. Nº de ref. del artículo: 9783725866441
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Data Mining and Machine Learning in the Era of Big Knowledge and Large Models
Impresión bajo demandaLibrería: AHA-BUCH GmbH, Einbeck, Alemania
Calificación del vendedor: 5 de 5 estrellas
Buch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The present Reprint contains all 13 articles accepted and published in the Special Issue 'Data Mining and Machine Learning in the Era of Big Knowledge and Large Models, 2026' of the MDPI Mathematics journal, which covers a wide range of topics connected to the theory, models, algorithms and applications related to advancing data mining and machine learning in the current age. The topics of these articles focus on Transformer-based named entity recognition, knowledge recommendation, time series analysis, model integration, data quality improvement, hallucinations, and innovative application development. We hope that the Reprint will be both interesting and useful for those working in the area of data mining and machine learning, as well as for those with the proper mathematical background and a willingness to become familiar with recent advances in this field. Nº de ref. del artículo: 9783725866441
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