Kuan-Ching (Hrsg.) Li
Big Data
Algorithms, Analytics, and Applications
Ebook (EPUB Format)
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, incl…
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Beschreibung
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 aspectsBig Data Processing-addresses the problem of processing Big Data across a wide range of resource-intensive computational settingsBig Data Stream Techniques and Algorithms-explores research issues regarding the management and mining of Big Data in streaming environmentsBig Data Privacy-focuses on models, techniques, and algorithms for preserving Big Data privacyBig Data Applications-illustrates practical applications of Big Data across several domains, including finance, multimedia tools, biometrics, and satellite Big Data processingOverall, 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.
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Noch nicht erschienen, Januar 2021
Produktdetails
Weitere Autoren: Jiang, Hai (Hrsg.) / Yang, Laurence T. (Hrsg.) / Cuzzocrea, Alfredo (Hrsg.)
- ISBN: 978-1-4987-6040-9
- EAN: 9781498760409
- Produktnummer: 19557540
- Verlag: Taylor & Francis Ltd.
- Sprache: Englisch
- Erscheinungsjahr: 2015
- Seitenangabe: 498 S.
- Plattform: EPUB
Über den Autor
Kuan-Ching Li is a professor in the Department of Computer Science and Information Engineering at Providence University, Taiwan. He was department chair in 2009, has been special assistant to the university president since 2010, and was appointed vice dean for the Office of International and Cross-Strait Affairs (OIA) in 2014. He earned a PhD in 2001 from the University of Sao Paulo, Brazil. Dr. Li is a recipient of awards from NVIDIA, the Ministry of Education (MOE)/Taiwan, and the Ministry of Science and Technology (MOST)/Taiwan. He also received guest professorships at universities in China, including Xiamen University (XMU), Huazhong University of Science and Technology (HUST), Lanzhou University (LZU), Shanghai University (SHU), Anhui University of Science and Technology (AUST), and Lanzhou Jiaotong University (LZJTU). He has been involved actively in conferences and workshops as a program/general/steering conference chairman and in numerous conferences and workshops as a program committee member, and he has organized numerous conferences related to high-performance computing and computational science and engineering.Dr. Li is the editor in chief of the technical publications International Journal of Computational Science and Engineering (IJCSE), International Journal of Embedded Systems (IJES), and International Journal of High Performance Computing and Networking (IJHPCN), all published by Interscience. He also serves on a number of journals' editorial boards and guest editorships. In addition, he has been acting as editor/coeditor of several technical professional books, published by CRC Press and IGI Global. His topics of interest include networked computing, GPU computing, parallel software design, and performance evaluation and benchmarking. Dr. Li is a member of the Taiwan Association of Cloud Computing (TACC), a senior member of the IEEE, and a fellow of the IET. Hai Jiang is an ass
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