TY  - BOOK
AU  - Ghosal,Suman
AU  - Choudhury,Amitava
AU  - Saxena,Vikram Kumar
AU  - Biswas,Arindam
AU  - Chatterjee,Prasenjit
TI  - Advances in data science and computing technology: methodology and applications 
T2  - AAP research notes on optimization and decision-making theories
SN  - 9781003277071
AV  - QA76 
U1  - 004 23
PY  - 2023///
CY  - Palm Bay, FL, USA, Burlington, ON, Canada, Boca Raton, FL, USA, Abingdon, Oxon, UK
PB  - Apple Academic Press, CRC Press
KW  - Computer systems
KW  - Electronic data processing
KW  - COMPUTERS / Data Processing / General
KW  - bisacsh
N1  - Multi-criteria decision-making techniques in waste management : a case study of India / editors : Suchismita Satapathy, Debesh Mishra, and Prasanjit Chatterje -- Applications of artificial intelligence in business and finance : modern trends / editors: Vikas Garg, Shalini Aggarwal, Pooja Tiwari, and Prasenjit Chatterjee -- Advances in data science and computing technology : methodology and applications editors : Suman Ghosal, Amitava Choudhury, Vikram Kr. Saxena, Arindam Biswas, and Prasenjit Chatterjee
N2  - "This volume helps to address the genuine 21st century need for advances in data science and computing technology. It provides an abundance of new research and studies on progressive and innovative technologies, including artificial intelligence, communication systems, cyber security applications, data analytics, Internet of Things (IoT), machine learning, power systems, VLSI, embedded systems, and much more. The book presents a variety of interesting and important aspects of data science and computing technologies and methodologies in a wide range of applications, including deep learning, DNA cryptography, classy fuzzy MPPT controller, driving assistance, and safety systems. Novel algorithms and their applications for solving cutting-edge computational and data science problems are included also for an interdisciplinary research perspective. The book addresses recent applications of deep learning and ANN paradigms, the role and impact of big data in the e-commerce and retail sectors, algorithms for load balancing in cloud computing, advances in embedded system based applications, optimization techniques using a MATLAB platform, and techniques for improving information and network security. Advances in Data Science and Computing Technology: Methodology and Applications provides a wealth of valuable information and food for thought on many important issues for data scientists and researchers, industry professionals, and faculty and students in the data and computing sciences."--
UR  - https://www.taylorfrancis.com/books/9781003277071
UR  - http://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf
ER  -