ICDAM 2023, Volume 2 Swaroop, Abhishek. editor. edt http://id.loc.gov/vocabulary/relators/edt Polkowski, Zdzislaw. editor. edt http://id.loc.gov/vocabulary/relators/edt Correia, Sérgio Duarte. editor. edt http://id.loc.gov/vocabulary/relators/edt Virdee, Bal. editor. edt http://id.loc.gov/vocabulary/relators/edt SpringerLink (Online service) text si 2024 1st ed. 2024. monographic eng

electronic

electronic resource

access XXVII, 665 p. 298 illus., 254 illus. in color. online resource. This book includes original unpublished contributions presented at the International Conference on Data Analytics and Management (ICDAM 2023), held at London Metropolitan University, London, UK,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. 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. edited by Abhishek Swaroop, Zdzislaw Polkowski, Sérgio Duarte Correia, Bal Virdee. Computational intelligence Telecommunication Quantitative research Data protection Computational Intelligence Communications Engineering, Networks Data Analysis and Big Data Data and Information Security Q342 9789819965472 https://doi.org/10.1007/978-981-99-6547-2 https://doi.org/10.1007/978-981-99-6547-2 240102 20251030110908.0 978-981-99-6547-2