Vendeur : Ria Christie Collections, Uxbridge, Royaume-Uni
EUR 25,10
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Vendeur : California Books, Miami, FL, Etats-Unis
EUR 25,77
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Vendeur : Revaluation Books, Exeter, Royaume-Uni
EUR 30,89
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Ajouter au panierPaperback. Etat : Brand New. 120 pages. 9.00x6.00x0.25 inches. In Stock.
Vendeur : Books Puddle, New York, NY, Etats-Unis
EUR 43,27
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Edité par Springer Berlin Heidelberg, 2015
ISBN 10 : 3662467410 ISBN 13 : 9783662467411
Langue: anglais
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
EUR 53,49
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Ajouter au panierTaschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This book constitutes the refereed proceedings of the 4th International Conference on Soft Computing, Intelligent Systems, and Information Technology, ICSIIT 2015, held in Bali, Indonesia, in March 2015. The 34 revised full papers presented together with 19 short papers, one keynote and 2 invited talks were carefully reviewed and selected from 92 submissions. The papers cover a wide range of topics related to intelligence in the era of Big Data, such as fuzzy logic and control system; genetic algorithm and heuristic approaches; artificial intelligence and machine learning; similarity-based models; classification and clustering techniques; intelligent data processing; feature extraction; image recognition; visualization techniques; intelligent network; cloud and parallel computing; strategic planning; intelligent applications; and intelligent systems for enterprise, government and society.
Vendeur : Ria Christie Collections, Uxbridge, Royaume-Uni
EUR 62,21
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Vendeur : Books Puddle, New York, NY, Etats-Unis
EUR 89,91
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Ajouter au panierEtat : New. pp. 602.
Vendeur : Chiron Media, Wallingford, Royaume-Uni
EUR 87,73
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Vendeur : Revaluation Books, Exeter, Royaume-Uni
EUR 87,06
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Ajouter au panierPaperback. Etat : Brand New. 2015 edition. 628 pages. 9.25x6.25x1.50 inches. In Stock.
Vendeur : Lucky's Textbooks, Dallas, TX, Etats-Unis
EUR 55,48
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Vendeur : Mispah books, Redhill, SURRE, Royaume-Uni
EUR 102,84
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Ajouter au panierPaperback. Etat : Like New. Like New. book.
Vendeur : Ria Christie Collections, Uxbridge, Royaume-Uni
EUR 168,86
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Edité par Springer International Publishing, Springer International Publishing, 2014
ISBN 10 : 3319055267 ISBN 13 : 9783319055268
Langue: anglais
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
EUR 160,49
Autre deviseQuantité disponible : 1 disponible(s)
Ajouter au panierTaschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - Big data is an essential key to build a smart world as a meaning of the streaming, continuous integration of large volume and high velocity data covering from all sources to final destinations. The big data range from data mining, data analysis and decision making, by drawing statistical rules and mathematical patterns through systematical or automatically reasoning. The big data helps serve our life better, clarify our future and deliver greater value. We can discover how to capture and analyze data. Readers will be guided to processing system integrity and implementing intelligent systems. With intelligent systems, we deal with the fundamental data management and visualization challenges in effective management of dynamic and large-scale data, and efficient processing of real-time and spatio-temporal data. Advanced intelligent systems have led to managing the data monitoring, data processing and decision-making in realistic and effective way. Considering a big size of data, variety of data and frequent changes of data, the intelligent systems basically challenge new data management tasks for integration, visualization, querying and analysis. Connected with powerful data analysis, the intelligent systems will provide a paradigm shift from conventional store and process systems. This book focuses on taking a full advantage of big data and intelligent systems processing. It consists of 11 contributions that feature extraction of minority opinion, method for reusing an application, assessment of scientific and innovative projects, multi-voxel pattern analysis, exploiting No-SQL DB, materialized view, TF-IDF criterion, latent Dirichlet allocation, technology forecasting, small world network, and classification & regression tree structure. This edition is published in original, peer reviewed contributions covering from initial design to final prototypes and authorization.
Vendeur : Ria Christie Collections, Uxbridge, Royaume-Uni
EUR 195,91
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Vendeur : Ria Christie Collections, Uxbridge, Royaume-Uni
EUR 195,91
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Vendeur : Majestic Books, Hounslow, Royaume-Uni
EUR 210,45
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Vendeur : Books Puddle, New York, NY, Etats-Unis
EUR 223,74
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Vendeur : Lucky's Textbooks, Dallas, TX, Etats-Unis
EUR 163,92
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EUR 230,23
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Ajouter au panierEtat : New. pp. 124.
Vendeur : California Books, Miami, FL, Etats-Unis
EUR 237,43
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Vendeur : California Books, Miami, FL, Etats-Unis
EUR 237,43
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EUR 239,30
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Ajouter au panierPaperback. Etat : Brand New. 2014 edition. 143 pages. 9.00x6.00x0.25 inches. In Stock.
Vendeur : dsmbooks, Liverpool, Royaume-Uni
EUR 230,48
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Ajouter au panierPaperback. Etat : Like New. Like New. book.
Vendeur : Lucky's Textbooks, Dallas, TX, Etats-Unis
EUR 193,52
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Vendeur : Books Puddle, New York, NY, Etats-Unis
EUR 282,76
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Ajouter au panierEtat : New. 1st ed. 2021 edition NO-PA16APR2015-KAP.
Vendeur : Revaluation Books, Exeter, Royaume-Uni
EUR 286,57
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Ajouter au panierPaperback. Etat : Brand New. 459 pages. 9.25x6.10x0.93 inches. In Stock.
Vendeur : PBShop.store US, Wood Dale, IL, Etats-Unis
EUR 29,33
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Ajouter au panierPAP. Etat : New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Vendeur : PBShop.store UK, Fairford, GLOS, Royaume-Uni
EUR 27,51
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Ajouter au panierPAP. Etat : New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Edité par MEEM PUBLISHERS Jul 2023, 2023
ISBN 10 : 8625526187 ISBN 13 : 9788625526181
Langue: anglais
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
EUR 31,10
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Ajouter au panierTaschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This focuses on the security and privacy preservation of medical big data using soft computing techniques. As the volume of medical data continues to grow, ensuring its security and protecting patient privacy become paramount. The research aims to employ soft computing techniques to address these challenges effectively.Soft computing methods, such as fuzzy logic, neural networks, and genetic algorithms, will be explored for their potential in securing medical big data and preserving patient privacy. These techniques can aid in data encryption, anonymization, access control, and anomaly detection, safeguarding sensitive medical information from unauthorized access and potential cyber-attacks.This will evaluate the performance of different soft computing approaches in terms of data protection, computation efficiency, and scalability. Special emphasis will be placed on adhering to privacy regulations and ethical considerations concerning medical data.The outcomes of this research have the potential to significantly impact the healthcare industry. By effectively implementing soft computing techniques, the security and privacy of medical big data can be enhanced, instilling confidence in patients, healthcare providers, and stakeholders regarding data confidentiality. Furthermore, the findings may contribute to the development of robust and privacy-preserving systems that promote data sharing and collaboration in medical research while upholding the highest standards of data protection.By employing these methods, the study seeks to address data protection challenges and pave the way for safer and more reliable data management practices within the healthcare domain. 120 pp. Englisch.
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
EUR 37,44
Autre deviseQuantité disponible : 1 disponible(s)
Ajouter au panierTaschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This focuses on the security and privacy preservation of medical big data using soft computing techniques. As the volume of medical data continues to grow, ensuring its security and protecting patient privacy become paramount. The research aims to employ soft computing techniques to address these challenges effectively.Soft computing methods, such as fuzzy logic, neural networks, and genetic algorithms, will be explored for their potential in securing medical big data and preserving patient privacy. These techniques can aid in data encryption, anonymization, access control, and anomaly detection, safeguarding sensitive medical information from unauthorized access and potential cyber-attacks.This will evaluate the performance of different soft computing approaches in terms of data protection, computation efficiency, and scalability. Special emphasis will be placed on adhering to privacy regulations and ethical considerations concerning medical data.The outcomes of this research have the potential to significantly impact the healthcare industry. By effectively implementing soft computing techniques, the security and privacy of medical big data can be enhanced, instilling confidence in patients, healthcare providers, and stakeholders regarding data confidentiality. Furthermore, the findings may contribute to the development of robust and privacy-preserving systems that promote data sharing and collaboration in medical research while upholding the highest standards of data protection.By employing these methods, the study seeks to address data protection challenges and pave the way for safer and more reliable data management practices within the healthcare domain.