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Handbook of Research on Pattern Engineering System Development for Big Data Analytics

Media-Kombination
396 Seiten
2018
Engineering Science Reference
978-1-5225-6014-2 (ISBN)
CHF 559,95 inkl. MwSt
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Due to the growing use of web applications and communication devices, the use of data has increased throughout various industries. It is necessary to develop new techniques for managing data in order to ensure adequate usage. The Handbook of Research on Pattern Engineering System Development for Big Data Analytics is a critical scholarly resource that examines the incorporation of pattern management in business technologies as well as decision making and prediction process through the use of data management and analysis. Featuring coverage on a broad range of topics such as business intelligence, feature extraction, and data collection, this publication is geared towards professionals, academicians, practitioners, and researchers seeking current research on the development of pattern management systems for business applications.

Ramjeevan Singh Thakur is an Associate Professor in the Department of Computer Applications at Maulana Azad National Institute of Technology, Bhopal, India. He had a long carrier in teaching and research, including Three Year Teaching in the Department of Computer Applications at National Institute of Technology, Tiruchirapalli, Tamilnadu, India. At Present he is guiding several Ph.D. Research Scholars and handling Government Research Projects of about Rs. One Crore. He has published more than 75 Research Paper in National, International, Journals and Conferences. He has visited several Universities in USA, Hong Kong, Iran, Thailand, Malaysia, and Singapore.

Erscheint lt. Verlag 20.4.2018
Reihe/Serie Advances in Systems Analysis, Software Engineering, and High Performance Computing
Verlagsort Hershey, PA
Sprache englisch
Maße 216 x 279 mm
Themenwelt Mathematik / Informatik Informatik Software Entwicklung
ISBN-10 1-5225-6014-9 / 1522560149
ISBN-13 978-1-5225-6014-2 / 9781522560142
Zustand Neuware
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