TY - BOOK AU - Swaroop,Abhishek AU - Polkowski,Zdzislaw AU - Correia,Sérgio Duarte AU - Virdee,Bal ED - SpringerLink (Online service) TI - Proceedings of Data Analytics and Management: ICDAM 2023, Volume 2 T2 - Lecture Notes in Networks and Systems, SN - 9789819965472 AV - Q342 PY - 2024/// CY - Singapore PB - Springer Nature Singapore, Imprint: Springer KW - Computational intelligence KW - Telecommunication KW - Quantitative research KW - Data protection KW - Computational Intelligence KW - Communications Engineering, Networks KW - Data Analysis and Big Data KW - Data and Information Security N1 - Chapter 1: Sentiment Classification on Suicide Notes Using Bi-LSTM Model -- Chapter 2: Machine Learning based Blind Image Quality Assessment: A Review -- Chapter 3: Analysis Of Block Chain Technology Iot And Rpa In Supply Chain Management -- Chapter 4: Sentiment hotspots extraction in large text documents using neutrosophic sets -- Chapter 5: Peak Hour Demand Prediction for Sharing Bikes: A Comparative Analysis of Performances of Machine Learning Models -- Chapter 6: Prediction Based Analysis of Die-sel Prices using Naïve Bayes Classifier Model -- Chapter 7: Abnormality detection in smart-phone captured chest radiograph using multi-pretrained models -- Chapter 8: Offensive Tweets Detection In Hinglish Using HingBERT -- Chapter 9: Unlocking the Potential of Mobile Computing for Infusing Computational Thinking Using Social Cognitive Approach in Higher Education Institutes -- Chapter 10: Deep Learning Applications in Thermal IR Image Processing. etc N2 - This book includes original unpublished contributions presented at the International Conference on Data Analytics and Management (ICDAM 2023), held at London Metropolitan University, London, UK, during June 2023. The book covers the topics in data analytics, data management, big data, computational intelligence, and communication networks. The book presents innovative work by leading academics, researchers, and experts from industry which is useful for young researchers and students. The book is divided into four volumes UR - https://doi.org/10.1007/978-981-99-6547-2 ER -