Artículos relacionados a Data, Engineering and Applications: Volume 1
Sinopsis
<DIV>THIS BOOK PRESENTS A COMPILATION OF CURRENT TRENDS, TECHNOLOGIES, AND CHALLENGES IN CONNECTION WITH BIG DATA. MANY FIELDS OF SCIENCE AND ENGINEERING ARE DATA-DRIVEN, OR GENERATE HUGE AMOUNTS OF DATA THAT ARE RIPE FOR THE PICKING. THERE ARE NOW MORE SOURCES OF DATA THAN EVER BEFORE, AND MORE MEANS OF CAPTURING DATA. AT THE SAME TIME, THE SHEER VOLUME AND COMPLEXITY OF THE DATA HAVE SPARKED NEW DEVELOPMENTS, WHERE MANY BIG DATA PROBLEMS REQUIRE NEW SOLUTIONS.&NBSP;</DIV><DIV>GIVEN ITS SCOPE, THE BOOK OFFERS A VALUABLE REFERENCE GUIDE FOR ALL GRADUATE STUDENTS, RESEARCHERS, AND SCIENTISTS INTERESTED IN EXPLORING THE POTENTIAL OF BIG DATA APPLICATIONS.&NBSP;</DIV><DIV><BR></DIV>
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Reseña del editor
This book presents a compilation of current trends, technologies, and challenges in connection with Big Data. Many fields of science and engineering are data-driven, or generate huge amounts of data that are ripe for the picking. There are now more sources of data than ever before, and more means of capturing data. At the same time, the sheer volume and complexity of the data have sparked new developments, where many Big Data problems require new solutions. Given its scope, the book offers a valuable reference guide for all graduate students, researchers, and scientists interested in exploring the potential of Big Data applications.
Biografía del autor
Dr Rajesh K Shukla is a Professor and Head of the Department of Computer Science and Engineering, SIRT, Bhopal, India. With more than 20 years of teaching and research experience he has authored 8 books and has published/presented has more than 40 papers in international journals and conferences. Dr Shukla received an ISTE U.P. Government National Award in 2015 and various prestigious awards from the Computer Society of India. His research interests include recommendation systems and machine learning. He is fellow of IETE, a senior member of IEEE, a life member of ISTE, ISCA, and a member of ACM and IE(I).
Dr Jitendra Agrawal is a member of the faculty at the Department of Computer Science & Engineering, Rajiv Gandhi Proudyogiki Vishwavidyalaya, Bhopal, India. His research interests include data mining and computational intelligence. He has authored 02 books and published more than 60 papers in international journals and conferences. Dr Agrawal is a senior member of IEEE, life member of CSI, ISTE and member of IAENG. He has served as part of the program committees for several international conferences organised in countries such as the USA, India, New Zealand, Korea, Indonesia and Thailand.
Dr Sanjeev Sharma is a Professor and Head of the School of Information Technology, Rajiv Gandhi Proudyogiki Vishwavidyalaya, Bhopal, MP, India. He has over 29 years of teaching and research experience and received the World Education Congress Best Teacher Award in Information Technology. His research interests include mobile computing, ad-hoc networks, image processing and information security. He has edited proceedings of several national and international conferences and published more than 150 research papers in reputed journals. He is a member of IEEE, CSI, ISTE and IAENG. Dr G S Tomer is the Director of THDC Institute of Hydropower Engineering and Technology (Government of Uttarakhand), Tehri, India. He received the International Plato award for Educational Achievements in 2009. He completed his doctorate in Electronics Engineering from RGPV Bhopal and postdoctorate from the University of Kent, United Kingdom. Dr Tomar has more than 30 years of teaching and research experience and has published over 200 research papers in reputed journals, as well as 11 books and 7 book chapters. He is a senior member of IEEE, ACM and IACSIT, a fellow of IETE and IE(I), and a member of CSI and ISTE. He has also edited the proceedings of more than 20 IEEE conferences and has been the general chair of over 30 Conferences.
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- EditorialSpringer-Verlag GmbH
- Año de publicación2019
- ISBN 10 9811363463
- ISBN 13 9789811363467
- EncuadernaciónTapa dura
- IdiomaInglés
- Número de edición1
- Número de páginas200
- EditorShukla Rajesh Kumar, Singh Tomer Geetam, Sharma Sanjeev, Agrawal Jitendra
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Buch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book presents a compilation of current trends, technologies, and challenges in connection with Big Data. Many fields of science and engineering are data-driven, or generate huge amounts of data that are ripe for the picking. There are now more sources of data than ever before, and more means of capturing data. At the same time, the sheer volume and complexity of the data have sparked new developments, where many Big Data problems require new solutions.Given its scope, the book offers a valuable reference guide for all graduate students, researchers, and scientists interested in exploring the potential of Big Data applications. 200 pp. Englisch. Nº de ref. del artículo: 9789811363467
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Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Explores challenges in Big Data in the diversified field of engineering and the sciences Covers the varied applications of Big Data Presents a compilation of current trends, technologies, an. Nº de ref. del artículo: 262663358
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Buch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book presents a compilation of current trends, technologies, and challenges in connection with Big Data. Many fields of science and engineering are data-driven, or generate huge amounts of data that are ripe for the picking. There are now more sources of data than ever before, and more means of capturing data. At the same time, the sheer volume and complexity of the data have sparked new developments, where many Big Data problems require new solutions.Given its scope, the book offers a valuable reference guide for all graduate students, researchers, and scientists interested in exploring the potential of Big Data applications. Nº de ref. del artículo: 9789811363467
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