Spatiotemporal Data Analytics Modeling (29 results)
- Hardcover
Seller: California Books, Miami, FL, U.S.A.California Books
Contact seller4-star sellerCondition: New
£ 69.98
Free ShippingShips within U.S.A.Quantity: Over 20 available
Condition: New.
More images- Hardcover
Seller: Rarewaves.com USA, London, LONDO, United KingdomRarewaves.com USA
Contact seller5-star sellerCondition: New
£ 88.75
Free ShippingShips from United Kingdom to U.S.A.Quantity: Over 20 available
Hardback. Condition: New.
- Softcover
Seller: Rarewaves.com UK, London, United KingdomRarewaves.com UK
Contact seller5-star sellerCondition: New
£ 80.82
£ 65.00 shippingShips from United Kingdom to U.S.A.Quantity: Over 20 available
Paperback. Condition: New.
Language: English
Published by Springer, 2024
Series: Big Data Management, Book 8 of 13. Book 8 of 13 - Big Data Management
- Hardcover
Seller: Ria Christie Collections, Uxbridge, United KingdomRia Christie Collections
Contact seller5-star sellerCondition: New
£ 148.08
£ 11.98 shippingShips from United Kingdom to U.S.A.Quantity: Over 20 available
Condition: New. In.
Spatiotemporal Data Analytics and Modeling : Techniques and Applications
A, John (EDT); Abimannan, Satheesh (EDT); El-alfy, El-sayed M. (EDT); Chang, Yue-shan (EDT)
Language: English
Published by Springer, 2024
Series: Big Data Management, Book 8 of 13. Book 8 of 13 - Big Data Management
- Hardcover
Seller: GreatBookPricesUK, Woodford Green, United KingdomGreatBookPricesUK
Contact seller5-star sellerCondition: New
£ 148.07
£ 15.00 shippingShips from United Kingdom to U.S.A.Quantity: Over 20 available
Condition: New.
Spatiotemporal Data Analytics and Modeling : Techniques and Applications
A, John (EDT); Abimannan, Satheesh (EDT); El-alfy, El-sayed M. (EDT); Chang, Yue-shan (EDT)
Language: English
Published by Springer, 2024
Series: Big Data Management, Book 8 of 13. Book 8 of 13 - Big Data Management
- Hardcover
Seller: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
Contact seller5-star sellerCondition: New
£ 167.40
£ 1.97 shippingShips within U.S.A.Quantity: Over 20 available
Condition: New.
Spatiotemporal Data Analytics and Modeling : Techniques and Applications
A, John (EDT); Abimannan, Satheesh (EDT); El-alfy, El-sayed M. (EDT); Chang, Yue-shan (EDT)
Language: English
Published by Springer, 2024
Series: Big Data Management, Book 8 of 13. Book 8 of 13 - Big Data Management
- Hardcover
Seller: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
Contact seller5-star sellerCondition: Used - As new
£ 170.21
£ 1.97 shippingShips within U.S.A.Quantity: Over 20 available
Condition: As New. Unread book in perfect condition.
Spatiotemporal Data Analytics and Modeling : Techniques and Applications
A, John (EDT); Abimannan, Satheesh (EDT); El-alfy, El-sayed M. (EDT); Chang, Yue-shan (EDT)
Language: English
Published by Springer, 2024
Series: Big Data Management, Book 8 of 13. Book 8 of 13 - Big Data Management
- Hardcover
Seller: GreatBookPricesUK, Woodford Green, United KingdomGreatBookPricesUK
Contact seller5-star sellerCondition: Used - As new
£ 166.02
£ 15.00 shippingShips from United Kingdom to U.S.A.Quantity: Over 20 available
Condition: As New. Unread book in perfect condition.
Language: English
Published by Springer, 2025
Series: Big Data Management, Book 8 of 13. Book 8 of 13 - Big Data Management
- Softcover
Seller: preigu, Osnabrück, Germanypreigu
Contact seller5-star sellerCondition: New
£ 146.94
£ 59.80 shippingShips from Germany to U.S.A.Quantity: 5 available
Taschenbuch. Condition: Neu. Spatiotemporal Data Analytics and Modeling | Techniques and Applications | John A (u. a.) | Taschenbuch | Big Data Management | xii | Englisch | 2025 | Springer | EAN 9789819996537 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]…springer[dot]com | Anbieter: preigu.
Language: English
Published by Springer, 2024
Series: Big Data Management, Book 8 of 13. Book 8 of 13 - Big Data Management
- Hardcover
Seller: Books Puddle, New York, NY, U.S.A.Books Puddle
Contact seller4-star sellerCondition: New
£ 218.39
£ 2.98 shippingShips within U.S.A.Quantity: 4 available
Condition: New. 2024th edition NO-PA16APR2015-KAP.
Language: English
Published by Springer, Springer, 2025
Series: Big Data Management, Book 8 of 13. Book 8 of 13 - Big Data Management
- Softcover
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
Contact seller5-star sellerCondition: New
£ 175.77
£ 52.96 shippingShips from Germany to U.S.A.Quantity: 1 available
Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - With the growing advances in technology and transformation to digital services, the world is becoming more connected and more complex. Huge heterogeneous data are generated at rapid speed from various types of sensors. Augmented with artificial int…elligence and machine learning and internet of things, latent relations, and new insights can be captured helping in optimizing plans and resource utilization, improving infrastructure, and enhancing quality of services.A 'spatial data management system' is a way to take care of data that has something to do with space. This could include data such as maps, satellite images, and GPS data. A temporal data management system is a system designed to manage data that has a temporal component. This could include data such as weather data, financial data, and social media data. Some advanced techniques used in spatial and temporal data management systems include geospatial indexing for efficient querying and retrieval of location-based data, time-series analysis for understanding and predicting temporal patterns in datasets like weather or financial trends, machine learning algorithms for uncovering hidden patterns and correlations in large and complex datasets, and integration with Internet of Things (IoT) technologies for real-time data collection and analysis. These techniques, augmented with artificial intelligence, enable the extraction of latent relations and insights, thereby optimizing plans, improving infrastructure, and enhancing the quality of services. This book provides essential technical knowledge, best practices, and case studies on the state-of-the-art techniques of artificial intelligence and machine learning for spatiotemporal data analysis and modeling. The book is composed of several chapters written by experts in their fields and focusing on several applications including recommendation systems, big data analytics, supply chains and e-commerce, energy consumption and demand forecasting,and traffic and environmental monitoring. It can be used as academic reference at graduate level or by professionals in science and engineering related fields such as data science and engineering, big data analytics and mining, artificial intelligence, machine learning and deep learning, cloud computing, and internet of things.
Language: English
Published by Springer, Springer, 2024
Series: Big Data Management, Book 8 of 13. Book 8 of 13 - Big Data Management
- Hardcover
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
Contact seller5-star sellerCondition: New
£ 177.17
£ 53.65 shippingShips from Germany to U.S.A.Quantity: 1 available
Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - With the growing advances in technology and transformation to digital services, the world is becoming more connected and more complex. Huge heterogeneous data are generated at rapid speed from various types of sensors. Augmented with artificial intelligen…ce and machine learning and internet of things, latent relations, and new insights can be captured helping in optimizing plans and resource utilization, improving infrastructure, and enhancing quality of services.A 'spatial data management system' is a way to take care of data that has something to do with space. This could include data such as maps, satellite images, and GPS data. A temporal data management system is a system designed to manage data that has a temporal component. This could include data such as weather data, financial data, and social media data. Some advanced techniques used in spatial and temporal data management systems include geospatial indexing for efficient querying and retrieval of location-based data, time-series analysis for understanding and predicting temporal patterns in datasets like weather or financial trends, machine learning algorithms for uncovering hidden patterns and correlations in large and complex datasets, and integration with Internet of Things (IoT) technologies for real-time data collection and analysis. These techniques, augmented with artificial intelligence, enable the extraction of latent relations and insights, thereby optimizing plans, improving infrastructure, and enhancing the quality of services. This book provides essential technical knowledge, best practices, and case studies on the state-of-the-art techniques of artificial intelligence and machine learning for spatiotemporal data analysis and modeling. The book is composed of several chapters written by experts in their fields and focusing on several applications including recommendation systems, big data analytics, supply chains and e-commerce, energy consumption and demand forecasting,and traffic and environmental monitoring. It can be used as academic reference at graduate level or by professionals in science and engineering related fields such as data science and engineering, big data analytics and mining, artificial intelligence, machine learning and deep learning, cloud computing, and internet of things.
Language: English
Published by Springer Nature, 2024
Series: Big Data Management, Book 8 of 13. Book 8 of 13 - Big Data Management
- Hardcover
Seller: Revaluation Books, Exeter, United KingdomRevaluation Books
Contact seller5-star sellerCondition: New
£ 231.75
£ 12.50 shippingShips from United Kingdom to U.S.A.Quantity: 2 available
Hardcover. Condition: Brand New. 257 pages. 9.26x6.11x9.21 inches. In Stock.
- Hardcover
- Print on Demand
Seller: Majestic Books, Hounslow, United KingdomMajestic Books
Contact seller4-star sellerCondition: New
£ 98.27
£ 6.50 shippingShips from United Kingdom to U.S.A.Quantity: 4 available
Condition: New. Print on Demand.
- Hardcover
- Print on Demand
Seller: Books Puddle, New York, NY, U.S.A.Books Puddle
Contact seller4-star sellerCondition: New
£ 102.87
£ 2.98 shippingShips within U.S.A.Quantity: 4 available
Condition: New. Print on Demand.
- Hardcover
- Print on Demand
Seller: Biblios, frankfurt am main, HESSE, GermanyBiblios
Contact seller4-star sellerCondition: New
£ 100.19
£ 8.50 shippingShips from Germany to U.S.A.Quantity: 4 available
Condition: New. PRINT ON DEMAND.
- Hardcover
- Print on Demand
Seller: CitiRetail, Stevenage, United KingdomCitiRetail
Contact seller5-star sellerCondition: New
£ 70.99
£ 37.00 shippingShips from United Kingdom to U.S.A.Quantity: 1 available
Hardcover. Condition: new. Hardcover. This reprint highlights how advanced analytical techniques and modeling frameworks contribute to understanding, managing, and optimizing land-use systems under complex socio-environmental dynamics. The key themes include the analysis of urban growth boundaries, ecological quality assessment,… transportation land demand forecasting, and urban suitability evaluation. Case studies from diverse contexts showcase the application of cutting-edge tools like GIS-based multi-criteria evaluation, remote sensing indices, and machine learning models. The articles provide insights into methodologies such as the Total Operating Characteristic for assessing land-use change; remote-sensing-driven ecological indices for monitoring environmental quality; and urban suitability analysis using Random Forest, Extreme Gradient Boosting, and Support Vector Machines. This reprint also features research on the spatial and temporal dynamics of ecological and urban systems. Its contributions examine the driving forces behind changes in land-use patterns, offering evidence-based recommendations for sustainable land planning and policy formation. Topics include the impact of urbanization on ecological quality, methods for optimizing land allocation in transportation systems, and strategies for enhancing resilience in environmentally sensitive areas. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Language: English
Published by Springer, 2025
Series: Big Data Management, Book 8 of 13. Book 8 of 13 - Big Data Management
- Softcover
- Print on Demand
Seller: Brook Bookstore On Demand, Napoli, NA, ItalyBrook Bookstore On Demand
Contact seller5-star sellerCondition: New
£ 132.23
£ 4.70 shippingShips from Italy to U.S.A.Quantity: Over 20 available
Condition: new. Questo è un articolo print on demand.
Language: English
Published by Springer, 2024
Series: Big Data Management, Book 8 of 13. Book 8 of 13 - Big Data Management
- Hardcover
- Print on Demand
Seller: Brook Bookstore On Demand, Napoli, NA, ItalyBrook Bookstore On Demand
Contact seller5-star sellerCondition: New
£ 132.23
£ 5.81 shippingShips from Italy to U.S.A.Quantity: Over 20 available
Condition: new. Questo è un articolo print on demand.
- Hardcover
- Print on Demand
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
Contact seller5-star sellerCondition: New
£ 93.15
£ 55.06 shippingShips from Germany to U.S.A.Quantity: 2 available
Buch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This reprint highlights how advanced analytical techniques and modeling frameworks contribute to understanding, managing, and optimizing land-use systems under complex socio-environmental dynamics. The key themes include the analysis of urban g…rowth boundaries, ecological quality assessment, transportation land demand forecasting, and urban suitability evaluation. Case studies from diverse contexts showcase the application of cutting-edge tools like GIS-based multi-criteria evaluation, remote sensing indices, and machine learning models. The articles provide insights into methodologies such as the Total Operating Characteristic for assessing land-use change; remote-sensing-driven ecological indices for monitoring environmental quality; and urban suitability analysis using Random Forest, Extreme Gradient Boosting, and Support Vector Machines. This reprint also features research on the spatial and temporal dynamics of ecological and urban systems. Its contributions examine the driving forces behind changes in land-use patterns, offering evidence-based recommendations for sustainable land planning and policy formation. Topics include the impact of urbanization on ecological quality, methods for optimizing land allocation in transportation systems, and strategies for enhancing resilience in environmentally sensitive areas.
- Hardcover
- Print on Demand
Seller: preigu, Osnabrück, Germanypreigu
Contact seller5-star sellerCondition: New
£ 108.75
£ 59.80 shippingShips from Germany to U.S.A.Quantity: 5 available
Buch. Condition: Neu. Spatiotemporal Data Analytics and Modeling of Land Systems | Shaping Sustainable Landscape | Buch | Englisch | 2025 | MDPI AG | EAN 9783725848294 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
Language: English
Published by Springer Verlag GmbH, 2025
Series: Big Data Management, Book 8 of 13. Book 8 of 13 - Big Data Management
- Softcover
- Print on Demand
Seller: moluna, Greven, Germanymoluna
Contact seller5-star sellerCondition: New
£ 142.99
£ 41.85 shippingShips from Germany to U.S.A.Quantity: Over 20 available
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt.
Language: English
Published by Springer Nature Singapore, 2024
Series: Big Data Management, Book 8 of 13. Book 8 of 13 - Big Data Management
- Hardcover
- Print on Demand
Seller: moluna, Greven, Germanymoluna
Contact seller5-star sellerCondition: New
£ 142.99
£ 41.85 shippingShips from Germany to U.S.A.Quantity: Over 20 available
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Provides essential theory and practice for real-world scenarios of spatiotemporal data management and modelling Presents the state-of-the-art techniques to leverage AI and ML for spatiotemporal data analyticsIncludes…rich real-world practic.
Language: English
Published by Springer, Springer Apr 2024, 2024
Series: Big Data Management, Book 8 of 13. Book 8 of 13 - Big Data Management
- Hardcover
- Print on Demand
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermanyBuchWeltWeit Ludwig Meier e.K.
Contact seller5-star sellerCondition: New
£ 169.46
£ 19.65 shippingShips from Germany to U.S.A.Quantity: 2 available
Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -With the growing advances in technology and transformation to digital services, the world is becoming more connected and more complex. Huge heterogeneous data are generated at rapid speed from various types of sensors. Augmented with artif…icial intelligence and machine learning and internet of things, latent relations, and new insights can be captured helping in optimizing plans and resource utilization, improving infrastructure, and enhancing quality of services.A 'spatial data management system' is a way to take care of data that has something to do with space. This could include data such as maps, satellite images, and GPS data. A temporal data management system is a system designed to manage data that has a temporal component. This could include data such as weather data, financial data, and social media data. Some advanced techniques used in spatial and temporal data management systems include geospatial indexing for efficient querying and retrieval of location-based data, time-series analysis for understanding and predicting temporal patterns in datasets like weather or financial trends, machine learning algorithms for uncovering hidden patterns and correlations in large and complex datasets, and integration with Internet of Things (IoT) technologies for real-time data collection and analysis. These techniques, augmented with artificial intelligence, enable the extraction of latent relations and insights, thereby optimizing plans, improving infrastructure, and enhancing the quality of services. This book provides essential technical knowledge, best practices, and case studies on the state-of-the-art techniques of artificial intelligence and machine learning for spatiotemporal data analysis and modeling. The book is composed of several chapters written by experts in their fields and focusing on several applications including recommendation systems, big data analytics, supply chains and e-commerce, energy consumption and demand forecasting,and traffic and environmental monitoring. It can be used as academic reference at graduate level or by professionals in science and engineering related fields such as data science and engineering, big data analytics and mining, artificial intelligence, machine learning and deep learning, cloud computing, and internet of things. 260 pp. Englisch.
Language: English
Published by Springer, Springer Apr 2025, 2025
Series: Big Data Management, Book 8 of 13. Book 8 of 13 - Big Data Management
- Softcover
- Print on Demand
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermanyBuchWeltWeit Ludwig Meier e.K.
Contact seller5-star sellerCondition: New
£ 169.46
£ 19.65 shippingShips from Germany to U.S.A.Quantity: 2 available
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -With the growing advances in technology and transformation to digital services, the world is becoming more connected and more complex. Huge heterogeneous data are generated at rapid speed from various types of sensors. Augmented wit…h artificial intelligence and machine learning and internet of things, latent relations, and new insights can be captured helping in optimizing plans and resource utilization, improving infrastructure, and enhancing quality of services.A 'spatial data management system' is a way to take care of data that has something to do with space. This could include data such as maps, satellite images, and GPS data. A temporal data management system is a system designed to manage data that has a temporal component. This could include data such as weather data, financial data, and social media data. Some advanced techniques used in spatial and temporal data management systems include geospatial indexing for efficient querying and retrieval of location-based data, time-series analysis for understanding and predicting temporal patterns in datasets like weather or financial trends, machine learning algorithms for uncovering hidden patterns and correlations in large and complex datasets, and integration with Internet of Things (IoT) technologies for real-time data collection and analysis. These techniques, augmented with artificial intelligence, enable the extraction of latent relations and insights, thereby optimizing plans, improving infrastructure, and enhancing the quality of services. This book provides essential technical knowledge, best practices, and case studies on the state-of-the-art techniques of artificial intelligence and machine learning for spatiotemporal data analysis and modeling. The book is composed of several chapters written by experts in their fields and focusing on several applications including recommendation systems, big data analytics, supply chains and e-commerce, energy consumption and demand forecasting,and traffic and environmental monitoring. It can be used as academic reference at graduate level or by professionals in science and engineering related fields such as data science and engineering, big data analytics and mining, artificial intelligence, machine learning and deep learning, cloud computing, and internet of things. 260 pp. Englisch.
Language: English
Published by Springer, Springer Apr 2025, 2025
Series: Big Data Management, Book 8 of 13. Book 8 of 13 - Big Data Management
- Softcover
- Print on Demand
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germanybuchversandmimpf2000
Contact seller5-star sellerCondition: New
£ 169.46
£ 51.25 shippingShips from Germany to U.S.A.Quantity: 1 available
Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -With the growing advances in technology and transformation to digital services, the world is becoming more connected and more complex. Huge heterogeneous data are generated at rapid speed from various types of sensors. Augmented with ar…tificial intelligence and machine learning and internet of things, latent relations, and new insights can be captured helping in optimizing plans and resource utilization, improving infrastructure, and enhancing quality of services.A 'spatial data management system' is a way to take care of data that has something to do with space. This could include data such as maps, satellite images, and GPS data. A temporal data management system is a system designed to manage data that has a temporal component. This could include data such as weather data, financial data, and social media data. Some advanced techniques used in spatial and temporal data management systems include geospatial indexing for efficient querying and retrieval of location-based data, time-series analysis for understanding and predicting temporal patterns in datasets like weather or financial trends, machine learning algorithms for uncovering hidden patterns and correlations in large and complex datasets, and integration with Internet of Things (IoT) technologies for real-time data collection and analysis. These techniques, augmented with artificial intelligence, enable the extraction of latent relations and insights, thereby optimizing plans, improving infrastructure, and enhancing the quality of services.This book provides essential technical knowledge, best practices, and case studies on the state-of-the-art techniques of artificial intelligence and machine learning for spatiotemporal data analysis and modeling. The book is composed of several chapters written by experts in their fields and focusing on several applications including recommendation systems, big data analytics, supply chains and e-commerce, energy consumption and demand forecasting,and traffic and environmental monitoring. It can be used as academic reference at graduate level or by professionals in science and engineering related fields such as data science and engineering, big data analytics and mining, artificial intelligence, machine learning and deep learning, cloud computing, and internet of things.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 260 pp. Englisch.
Language: English
Published by Springer, Springer Apr 2024, 2024
Series: Big Data Management, Book 8 of 13. Book 8 of 13 - Big Data Management
- Hardcover
- Print on Demand
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germanybuchversandmimpf2000
Contact seller5-star sellerCondition: New
£ 169.46
£ 51.25 shippingShips from Germany to U.S.A.Quantity: 1 available
Buch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -With the growing advances in technology and transformation to digital services, the world is becoming more connected and more complex. Huge heterogeneous data are generated at rapid speed from various types of sensors. Augmented with artificia…l intelligence and machine learning and internet of things, latent relations, and new insights can be captured helping in optimizing plans and resource utilization, improving infrastructure, and enhancing quality of services.A 'spatial data management system' is a way to take care of data that has something to do with space. This could include data such as maps, satellite images, and GPS data. A temporal data management system is a system designed to manage data that has a temporal component. This could include data such as weather data, financial data, and social media data. Some advanced techniques used in spatial and temporal data management systems include geospatial indexing for efficient querying and retrieval of location-based data, time-series analysis for understanding and predicting temporal patterns in datasets like weather or financial trends, machine learning algorithms for uncovering hidden patterns and correlations in large and complex datasets, and integration with Internet of Things (IoT) technologies for real-time data collection and analysis. These techniques, augmented with artificial intelligence, enable the extraction of latent relations and insights, thereby optimizing plans, improving infrastructure, and enhancing the quality of services.This book provides essential technical knowledge, best practices, and case studies on the state-of-the-art techniques of artificial intelligence and machine learning for spatiotemporal data analysis and modeling. The book is composed of several chapters written by experts in their fields and focusing on several applications including recommendation systems, big data analytics, supply chains and e-commerce, energy consumption and demand forecasting,and traffic and environmental monitoring. It can be used as academic reference at graduate level or by professionals in science and engineering related fields such as data science and engineering, big data analytics and mining, artificial intelligence, machine learning and deep learning, cloud computing, and internet of things.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 260 pp. Englisch.
Language: English
Published by Springer, 2024
Series: Big Data Management, Book 8 of 13. Book 8 of 13 - Big Data Management
- Hardcover
- Print on Demand
Seller: Majestic Books, Hounslow, United KingdomMajestic Books
Contact seller4-star sellerCondition: New
£ 232.41
£ 6.50 shippingShips from United Kingdom to U.S.A.Quantity: 4 available
Condition: New. Print on Demand.
Language: English
Published by Springer, 2024
Series: Big Data Management, Book 8 of 13. Book 8 of 13 - Big Data Management
- Hardcover
- Print on Demand
Seller: Biblios, frankfurt am main, HESSE, GermanyBiblios
Contact seller4-star sellerCondition: New
£ 239.81
£ 8.50 shippingShips from Germany to U.S.A.Quantity: 4 available
Condition: New. PRINT ON DEMAND.
