04127nam a22006015i 4500 978-981-99-9179-2 DE-He213 20251030111724.0 cr nn 008mamaa 240316s2024 si | s |||| 0|eng d 9789819991792 978-981-99-9179-2 10.1007/978-981-99-9179-2 doi Q342 UYQ bicssc COM004000 bisacsh UYQ thema Data Science and Big Data Analytics [electronic resource] : Proceedings of IDBA 2023 / edited by Durgesh Mishra, Xin She Yang, Aynur Unal, Dharm Singh Jat. 1st ed. 2024. Singapore : Springer Nature Singapore : Imprint: Springer, 2024. XIV, 747 p. 338 illus., 248 illus. in color. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Data-Intensive Research, 2731-5568 Analysing the role of social influence in adoption of technology for student assessment in Indian management institutions -- Plastic and Non-Plastic Waste Classification using Machine Learning Techniques -- Prediction of Customer Satisfaction in E- banking Services through Neural Network Approach -- Role of AI and Machine Learning in Mental Healthcare -- Proposed a mechanism to precise diagnostics in X-ray film using Fuzzy Logic Controller -- Human Gender Classification of Males and Females in a Crowd using Deep Learning Techniques -- Analysis on prediction of crop diseases using TensorFlow with Keras and OpenCV technique of deep learning -- Design of convolutional encoder for multivalued logic -- Improving the efficiency of water quality prediction using the Supertml approach in machine learning -- Probabilistic Data Structure using hashing technique for big data security de- duplication in cloud environment -- Malicious account detection using ANN -- Performance Evaluation of LiCi-2Ultra-lightweight Block Cipher. This book features high-quality research papers presented at the Third International Conference on Data Science and Big Data Analytics (IDBA 2023), organized by Sri Aurobindo Institute of Technology, Indore, India, in association with ACM and IEEE Computer Society in hybrid mode during June 16–17, 2023. This book discusses the topics such as data science, artificial intelligence, machine learning, quantum computing, big data and cloud security, computation security, big data security, information security, forecasting, data analytics, mathematics for data science, graph theory and application in data science, data visualization, computer vision, and analytics for social networks. Computational intelligence. 64052 Quantitative research. Data mining. 6941 Data protection. Computational Intelligence. 64052 Data Analysis and Big Data. Data Mining and Knowledge Discovery. Data and Information Security. 66492 Mishra, Durgesh. editor. edt http://id.loc.gov/vocabulary/relators/edt 71079 Yang, Xin She. editor. edt http://id.loc.gov/vocabulary/relators/edt Unal, Aynur. editor. edt http://id.loc.gov/vocabulary/relators/edt 73175 Jat, Dharm Singh. editor. edt http://id.loc.gov/vocabulary/relators/edt 71078 SpringerLink (Online service) Springer Nature eBook Printed edition: 9789819991785 Printed edition: 9789819991808 Printed edition: 9789819991815 Data-Intensive Research, 2731-5568 73176 https://doi.org/10.1007/978-981-99-9179-2 ZDB-2-INR ZDB-2-SXIT 58380 58380