{"title":"Chapman And Hall Crc Big Data Series","description":"\u003cp\u003eDelve into the Chapman \u0026amp; Hall\/CRC Big Data Series for cutting-edge insights and methodologies. Perfect for data scientists and researchers seeking to master the latest advancements in big data analytics and applications.\u003c\/p\u003e","products":[{"product_id":"big-data-book-kuan-ching-li-9781482240559","title":"Big Data","description":"As today’s organizations are capturing exponentially larger amounts of data than ever, now is the time for organizations to rethink how they digest that data. Through advanced algorithms and analytics techniques, organizations can harness this data, discover hidden patterns, and use the newly acquired knowledge to achieve competitive advantages.  Presenting the contributions of leading experts in their respective fields, Big Data: Algorithms, Analytics, and Applications bridges the gap between the vastness of Big Data and the appropriate computational methods for scientific and social discovery. It covers fundamental issues about Big Data, including efficient algorithmic methods to process data, better analytical strategies to digest data, and representative applications in diverse fields, such as medicine, science, and engineering. The book is organized into five main sections:     Big Data Management—considers the research issues related to the management of Big Data, including indexing and scalability aspects  Big Data Processing—addresses the problem of processing Big Data across a wide range of resource-intensive computational settings  Big Data Stream Techniques and Algorithms—explores research issues regarding the management and mining of Big Data in streaming environments  Big Data Privacy—focuses on models, techniques, and algorithms for preserving Big Data privacy  Big Data Applications—illustrates practical applications of Big Data across several domains, including finance, multimedia tools, biometrics, and satellite Big Data processing  Overall, the book reports on state-of-the-art studies and achievements in algorithms, analytics, and applications of Big Data. It provides readers with the basis for further efforts in this challenging scientific field that will play a leading role in next-generation database, data warehousing, data mining, and cloud computing research. It also explores related applications in diverse sectors, covering technologies for media\/data communication, elastic media\/data storage, cross-network media\/data fusion, and SaaS.","brand":"WoB","offers":[{"title":"US \/ VERY_GOOD \/ SBYB","offer_id":50386519425297,"sku":"CIN1482240556VG","price":0.0,"currency_code":"GBP","in_stock":true},{"title":"GB \/ NEW \/ INGRAM","offer_id":52427214881041,"sku":"NLS9781482240559","price":0.0,"currency_code":"GBP","in_stock":true},{"title":"US \/ NEW \/ INGRAM","offer_id":53036561793297,"sku":"NIN9781482240559","price":0.0,"currency_code":"GBP","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0784\/4072\/6801\/files\/1482240556.jpg?v=1751371661"},{"product_id":"big-data-systems-book-jawwad-ahmed-shamsi-9781498752701","title":"Big Data Systems","description":"Big Data Systems encompass massive challenges related to data diversity, storage mechanisms, and requirements of massive computational power. Further, capabilities of big data systems also vary with respect to type of problems. For instance, distributed memory systems are not recommended for iterative algorithms. Similarly, variations in big data systems also exist related to consistency and fault tolerance. The purpose of this book is to provide a detailed explanation of big data systems. The book covers various topics including Networking, Security, Privacy, Storage, Computation, Cloud Computing, NoSQL and NewSQL systems, High Performance Computing, and Deep Learning. An illustrative and practical approach has been adopted in which theoretical topics have been aided by well-explained programming and illustrative examples.  Key Features:    Introduces concepts and evolution of Big Data technology. Illustrates examples for thorough understanding. Contains programming examples for hands on development. Explains a variety of topics including NoSQL Systems, NewSQL systems, Security, Privacy, Networking, Cloud, High Performance Computing, and Deep Learning. Exemplifies widely used big data technologies such as Hadoop and Spark. Includes discussion on case studies and open issues. Provides end of chapter questions for enhanced learning.","brand":"WoB","offers":[{"title":"- \/ - \/ -","offer_id":50697500655889,"sku":"","price":0.0,"currency_code":"GBP","in_stock":true},{"title":"GB \/ NEW \/ GARDNERS","offer_id":50697502654737,"sku":"NGR9781498752701","price":0.0,"currency_code":"GBP","in_stock":false},{"title":"GB \/ NEW \/ INGRAM","offer_id":52615387971857,"sku":"NLS9781498752701","price":0.0,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0784\/4072\/6801\/files\/1498752705.jpg?v=1751406069"},{"product_id":"big-data-systems-book-jawwad-ahmed-shamsi-9780367755232","title":"Big Data Systems","description":"Big Data Systems encompass massive challenges related to data diversity, storage mechanisms, and requirements of massive computational power. Further, capabilities of big data systems also vary with respect to type of problems. For instance, distributed memory systems are not recommended for iterative algorithms. 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The book is organized into two main sections. The first section covers Big Data architectures, including cloud computing systems, and heterogeneous accelerators. It also covers emerging 3D IC design principles for memory architectures and devices. The second section of the book illustrates emerging and practical applications of Big Data across several domains, including bioinformatics, deep learning, and neuromorphic engineering.   Features            Covers a wide range of Big Data architectures, including distributed systems like Hadoop\/Spark          Includes accelerator-based approaches for big data applications such as GPU-based acceleration techniques, and hardware acceleration such as FPGA\/CGRA\/ASICs          Presents emerging memory architectures and devices such as NVM, STT- RAM, 3D IC design principles          Describes advanced algorithms for different big data application domains          Illustrates novel analytics techniques for Big Data applications, scheduling, mapping, and partitioning methodologies        Featuring contributions from leading experts, this book presents state-of-the-art research on the methodologies and applications of high-performance computing for big data applications.    About the Editor    Dr. Chao Wang is an Associate Professor in the School of Computer Science at the University of Science and Technology of China. He is the Associate Editor of ACM Transactions on Design Automations for Electronics Systems (TODAES), Applied Soft Computing, Microprocessors and Microsystems, IET Computers \u0026amp; Digital Techniques, and International Journal of Electronics. Dr. Chao Wang was the recipient of Youth Innovation Promotion Association, CAS, ACM China Rising Star Honorable Mention (2016), and best IP nomination of DATE 2015. He is now on the CCF Technical Committee on Computer Architecture, CCF Task Force on Formal Methods. 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It will serve as a source of up-to-date research in this continuously developing area. The book also provides an opportunity for researchers to explore the use of advanced computing technologies and their impact on enhancing our capabilities to conduct more sophisticated studies.\"    ---Sartaj Sahni, University of Florida, USA    \"Big Data Management and Processing covers the latest Big Data research results in processing, analytics, management and applications. Both fundamental insights and representative applications are provided. This book is a timely and valuable resource for students, researchers and seasoned practitioners in Big Data fields.    --Hai Jin, Huazhong University of Science and Technology, China  Big Data Management and Processing explores a range of big data related issues and their impact on the design of new computing systems. The twenty-one chapters were carefully selected and feature contributions from several outstanding researchers. The book endeavors to strike a balance between theoretical and practical coverage of innovative problem solving techniques for a range of platforms. It serves as a repository of paradigms, technologies, and applications that target different facets of big data computing systems.    The first part of the book explores energy and resource management issues, as well as legal compliance and quality management for Big Data. It covers In-Memory computing and In-Memory data grids, as well as co-scheduling for high performance computing applications. The second part of the book includes comprehensive coverage of Hadoop and Spark, along with security, privacy, and trust challenges and solutions.    The latter part of the book covers mining and clustering in Big Data, and includes applications in genomics, hospital big data processing, and vehicular cloud computing. 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Key Features:    Introduces basic elements of health care data, especially for administrative claims data, including disease code, procedure codes, and drug codes   Provides tailored supervised and unsupervised machine learning approaches for understanding and predicting the high utilizers   Presents descriptive data driven methods for the high utilizer population   Identifies a best-fitting linear and tree-based regression model to account for patients’ acute and chronic condition loads and demographic characteristics","brand":"WoB","offers":[{"title":"- \/ - \/ -","offer_id":51227654062353,"sku":"","price":0.0,"currency_code":"GBP","in_stock":true},{"title":"US \/ NEW \/ INGRAM","offer_id":51227656257809,"sku":"NIN9781032088686","price":0.0,"currency_code":"GBP","in_stock":true},{"title":"GB \/ NEW \/ INGRAM","offer_id":52431503982865,"sku":"NLS9781032088686","price":0.0,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0784\/4072\/6801\/files\/1032088680.jpg?v=1751301697"},{"product_id":"big-data-computing-book-vivek-kale-india-9781498715331","title":"Big Data Computing","description":"This book unravels the mystery of Big Data computing and its power to transform business operations. 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Features         Covers a wide range of Big Data architectures, including distributed systems like Hadoop\/Spark      Includes accelerator-based approaches for big data applications such as GPU-based acceleration techniques, and hardware acceleration such as FPGA\/CGRA\/ASICs      Presents emerging memory architectures and devices such as NVM, STT- RAM, 3D IC design principles      Describes advanced algorithms for different big data application domains      Illustrates novel analytics techniques for Big Data applications, scheduling, mapping, and partitioning methodologies  Featuring contributions from leading experts, this book presents state-of-the-art research on the methodologies and applications of high-performance computing for big data applications.  About the Editor  Dr. Chao Wang is an Associate Professor in the School of Computer Science at the University of Science and Technology of China. He is the Associate Editor of ACM Transactions on Design Automations for Electronics Systems (TODAES), Applied Soft Computing, Microprocessors and Microsystems, IET Computers \u0026amp; Digital Techniques, and International Journal of Electronics. Dr. Chao Wang was the recipient of Youth Innovation Promotion Association, CAS, ACM China Rising Star Honorable Mention (2016), and best IP nomination of DATE 2015. He is now on the CCF Technical Committee on Computer Architecture, CCF Task Force on Formal Methods. 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