Data Management, Analytics and Innovation -

Data Management, Analytics and Innovation

Proceedings of ICDMAI 2019, Volume 1
Buch | Softcover
740 Seiten
2019 | 1st ed. 2020
Springer Verlag, Singapore
978-981-329-948-1 (ISBN)
181,89 inkl. MwSt
This book presents the latest findings in the areas of data management and smart computing, big data management, artificial intelligence and data analytics, along with advances in network technologies. It addresses state-of-the-art topics and discusses challenges and solutions for future development. Gathering original, unpublished contributions by scientists from around the globe, the book is mainly intended for a professional audience of researchers and practitioners in academia and industry.

Neha Sharma is the Founder Secretary of the Society for Data Science, India. She was the Director of the Zeal Institute of Business Administration, Computer Application & Research, Pune, Maharashtra, India, and and Deputy Director, of the Padmashree Dr. D.Y.Patil Institute of Master of Computer Applications, Akurdi, Pune. She completed her PhD at the prestigious Indian Institute of Technology (IIT-ISM), Dhanbad, and she is a Senior IEEE member as well as Execom member of IEEE Pune Section. She has published numerous research papers in respected international journals. She received the “Best PhD Thesis Award” and “Best Paper Presenter at International Conference Award” from the Computer Society of India. Her areas of interest include data mining, database design, analysis and design, artificial intelligence, big data, cloud computing, blockchain and data science. Amlan Chakrabarti currently the Dean of the Faculty of Engineering and Technology, Professorand Director of the A.K.Choudhury School of Information Technology, University of Calcutta, India. He was a postdoctoral fellow at the School of Engineering, Princeton University, USA from 2011 to 2012. He has published around 130 research papers in refereed journals and conferences, and has been involved in research projects supported by various national funding agencies and international collaborations. He is a senior member of the IEEE and ACM, ACM Distinguished Speaker, Vice President of the Society for Data Science, and Secretary of the IEEE CEDA India Chapter. His research interests include quantum computing, VLSI design, embedded system design, computer vision and analytics.
  Valentina Emilia Balas is currently a Full Professor at the Department of Automatics and Applied Software at the Faculty of Engineering, “Aurel Vlaicu” University of Arad, Romania. She holds a Ph.D. in Applied Electronics and Telecommunications from the Polytechnic University of Timisoara. Dr. Balas is the author of more than 300 research papers in refereed journals and international conferences. Her research interests include intelligent systems, fuzzy control, soft computing, smart sensors, information fusion, modeling and simulation. She is the editor‐in-chief of the International Journal of Advanced Intelligence Paradigms (IJAIP) and the International Journal of Computational Systems Engineering (IJCSysE), and is an editorial board member of several national and international journals.

Empirical Study of Soft Clustering Technique for Determining Click Through Rate in Online Advertising.- ASK Approach: A Pre-Migration Approach for Legacy Application Migration to Cloud.- A Fuzzy Logic Based Cardiovascular Disease Risk Level Prediction System in Correlation to Diabetes and Smoking.- An Integrated Fault Classification Approach for Microgrid System.- Role of Data Analytics in Human Resource Management for Prediction of Attrition Using Job Satisfaction.- A Study of Business Performance Management in Special Reference to Automobile Industry. 

Erscheinungsdatum
Reihe/Serie Advances in Intelligent Systems and Computing ; 1042
Zusatzinfo 218 Illustrations, color; 82 Illustrations, black and white; XIV, 740 p. 300 illus., 218 illus. in color.
Verlagsort Singapore
Sprache englisch
Maße 155 x 235 mm
Themenwelt Mathematik / Informatik Informatik Datenbanken
Informatik Theorie / Studium Algorithmen
Informatik Theorie / Studium Künstliche Intelligenz / Robotik
Technik Elektrotechnik / Energietechnik
Technik Nachrichtentechnik
ISBN-10 981-329-948-7 / 9813299487
ISBN-13 978-981-329-948-1 / 9789813299481
Zustand Neuware
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