ID - 131918130 TI - Proceedings of the 4th International Conference on Data Science, Machine Learning and Applications : ICDSMLA 2022, 26–27 December, Hyderabad, India AU - Kumar, Amit. AU - Gunjan, Vinit Kumar. AU - Hu, Yu-Chen. AU - Senatore, Sabrina. PY - 2023 SN - 9789819920587 9789819920570 9789819920594 9789819920600 9819920582 PB - Singapore : Springer Nature Singapore : Imprint: Springer, DB - UniCat KW - Mathematics KW - Business policy KW - Computer architecture. Operating systems KW - Information systems KW - Artificial intelligence. Robotics. Simulation. Graphics KW - Computer. Automation KW - neuronale netwerken KW - fuzzy logic KW - ICT (informatie- en communicatietechnieken) KW - cybernetica KW - bedrijfseconomie KW - IoT (Internet of Things) KW - wiskunde KW - KI (kunstmatige intelligentie) KW - informatica management KW - AI (artificiële intelligentie) KW - Artificial intelligence. KW - Computational intelligence. KW - Business information services. KW - Neural networks (Computer science) KW - Internet of things. KW - Quantitative research. KW - Artificial Intelligence. KW - Computational Intelligence. KW - IT in Business. KW - Mathematical Models of Cognitive Processes and Neural Networks. KW - Internet of Things. KW - Data Analysis and Big Data. UR - https://www.unicat.be/uniCat?func=search&query=sysid:131918130 AB - This book includes peer reviewed articles from the 4th International Conference on Data Science, Machine Learning and Applications, 2022, held at the Hyderabad Institute of Technology & Management on 26-27th December, India. ICDSMLA is one of the most prestigious conferences conceptualized in the field of Data Science & Machine Learning offering in-depth information on the latest developments in Artificial Intelligence, Machine Learning, Soft Computing, Human Computer Interaction, and various data science & machine learning applications. It provides a platform for academicians, scientists, researchers and professionals around the world to showcase broad range of perspectives, practices, and technical expertise in these fields. It offers participants the opportunity to stay informed about the latest developments in data science and machine learning. ER -