Text Mining using Big Data - Couverture souple

Ahmed, Rafeeq ; Ahmad, Tanvir

9786209795305: Text Mining using Big Data

Couverture souple

ISBN 10 : 6209795307 ISBN 13 : 9786209795305

Editeur : LAP Lambert Academic Publishing, 2026

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�diteur: LAP Lambert Academic Publishing
Date d'�dition: 2026
Langue: anglais
ISBN 10: 6209795307
ISBN 13: 9786209795305
Reliure: Broch�
Nombre de pages: 156
Coordonn�es du fabricant: non disponible
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Text Mining using Big Data (Paperback)

Rafeeq Ahmed

Edit� par LAP Lambert Academic Publishing, 2026

ISBN 10 : 6209795307 ISBN 13 : 9786209795305

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Paperback. Etat : new. Paperback. This book presents a comprehensive study on text mining using big data analytics with a novel fuzzy logic-based approach. As the volume of unstructured textual data grows exponentially across digital platforms, extracting meaningful knowledge from large-scale datasets has become a significant challenge. The book introduces advanced methodologies that integrate big data frameworks with fuzzy set theory to address uncertainty, ambiguity, and vagueness inherent in textual information. It explores preprocessing techniques, feature extraction, semantic analysis, and scalable mining strategies designed for high-dimensional data environments. A fuzzy inference model is proposed to enhance classification, clustering, and decision-making accuracy in complex text datasets. Experimental evaluations demonstrate improved performance compared to traditional crisp-based models. This work serves as a valuable resource for researchers, academicians, and practitioners working in data science, artificial intelligence, and big data analytics, providing both theoretical foundations and practical implementations for intelligent text mining systems. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N� de r�f. du vendeur 9786209795305

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Text Mining using Big Data

Ahmed, Rafeeq; Ahmad, Tanvir

Edit� par LAP LAMBERT Academic Publishing, 2026

ISBN 10 : 6209795307 ISBN 13 : 9786209795305

Neuf Couverture souple

Vendeur : California Books, Miami, FL, Etats-Unis

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Etat : New. N� de r�f. du vendeur I-9786209795305

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Text Mining using Big Data

Rafeeq Ahmed

Edit� par LAP LAMBERT Academic Publishing, 2026

ISBN 10 : 6209795307 ISBN 13 : 9786209795305

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PAP. Etat : New. New Book. Shipped from UK. Established seller since 2000. N� de r�f. du vendeur L2-9786209795305

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Text Mining using Big Data

Rafeeq Ahmed

Edit� par LAP LAMBERT Academic Publishing M�r 2026, 2026

ISBN 10 : 6209795307 ISBN 13 : 9786209795305

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Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne

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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 156 pp. Englisch. N� de r�f. du vendeur 9786209795305

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Text Mining using Big Data

Tanvir Ahmad

Edit� par LAP LAMBERT Academic Publishing, 2026

ISBN 10 : 6209795307 ISBN 13 : 9786209795305

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Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne

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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book presents a comprehensive study on text mining using big data analytics with a novel fuzzy logic-based approach. As the volume of unstructured textual data grows exponentially across digital platforms, extracting meaningful knowledge from large-scale datasets has become a significant challenge. The book introduces advanced methodologies that integrate big data frameworks with fuzzy set theory to address uncertainty, ambiguity, and vagueness inherent in textual information. It explores preprocessing techniques, feature extraction, semantic analysis, and scalable mining strategies designed for high-dimensional data environments. A fuzzy inference model is proposed to enhance classification, clustering, and decision-making accuracy in complex text datasets. Experimental evaluations demonstrate improved performance compared to traditional crisp-based models. This work serves as a valuable resource for researchers, academicians, and practitioners working in data science, artificial intelligence, and big data analytics, providing both theoretical foundations and practical implementations for intelligent text mining systems. N� de r�f. du vendeur 9786209795305

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Text Mining using Big Data

Rafeeq Ahmed (u. a.)

Edit� par LAP LAMBERT Academic Publishing, 2026

ISBN 10 : 6209795307 ISBN 13 : 9786209795305

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Text Mining using Big Data

Rafeeq Ahmed

Edit� par LAP LAMBERT Academic Publishing M�r 2026, 2026

ISBN 10 : 6209795307 ISBN 13 : 9786209795305

Neuf Taschenbuch

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Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne

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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book presents a comprehensive study on text mining using big data analytics with a novel fuzzy logic-based approach. As the volume of unstructured textual data grows exponentially across digital platforms, extracting meaningful knowledge from large-scale datasets has become a significant challenge. The book introduces advanced methodologies that integrate big data frameworks with fuzzy set theory to address uncertainty, ambiguity, and vagueness inherent in textual information. It explores preprocessing techniques, feature extraction, semantic analysis, and scalable mining strategies designed for high-dimensional data environments. A fuzzy inference model is proposed to enhance classification, clustering, and decision-making accuracy in complex text datasets. Experimental evaluations demonstrate improved performance compared to traditional crisp-based models. This work serves as a valuable resource for researchers, academicians, and practitioners working in data science, artificial intelligence, and big data analytics, providing both theoretical foundations and practical implementations for intelligent text mining systems.VDM Verlag, Dudweiler Landstra�e 99, 66123 Saarbr�cken 156 pp. Englisch. N� de r�f. du vendeur 9786209795305

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Text Mining using Big Data (Paperback)

Rafeeq Ahmed

Edit� par LAP Lambert Academic Publishing, 2026

ISBN 10 : 6209795307 ISBN 13 : 9786209795305

Neuf Paperback

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Vendeur : CitiRetail, Stevenage, Royaume-Uni

�valuation du vendeur 5 sur 5 �toiles

Paperback. Etat : new. Paperback. This book presents a comprehensive study on text mining using big data analytics with a novel fuzzy logic-based approach. As the volume of unstructured textual data grows exponentially across digital platforms, extracting meaningful knowledge from large-scale datasets has become a significant challenge. The book introduces advanced methodologies that integrate big data frameworks with fuzzy set theory to address uncertainty, ambiguity, and vagueness inherent in textual information. It explores preprocessing techniques, feature extraction, semantic analysis, and scalable mining strategies designed for high-dimensional data environments. A fuzzy inference model is proposed to enhance classification, clustering, and decision-making accuracy in complex text datasets. Experimental evaluations demonstrate improved performance compared to traditional crisp-based models. This work serves as a valuable resource for researchers, academicians, and practitioners working in data science, artificial intelligence, and big data analytics, providing both theoretical foundations and practical implementations for intelligent text mining systems. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. N� de r�f. du vendeur 9786209795305

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