图书简介
This book presents the latest findings in the areas of data management and smart computing, big data management, artificial intelligence, and data analytics, along with advances in network technologies. The book is a collection of peer-reviewed research papers presented at Sixth International Conference on Data Management, Analytics and Innovation (ICDMAI 2022), held virtually during January 14–16, 2022. It addresses state-of-the-art topics and discusses challenges and solutions for future development. Gathering original, unpublished contributions by scientists from around the globe, the book is mainly intended for a professional audience of researchers and practitioners in academia and industry.
Part I: Machine Learning.- Recognizing similar relationships within ontology to fine tune Ontology.- Object Detection using Peak, Balanced Division Point and Shape based Features.- End to End Agile and Automated Machine Learning Framework for Trustworthy, Reliable and Sustainable Artificial Intelligence.- Automated Structured Data Extraction from Scanned Document Images.- Effective Sentiment Analysis of Bengali Corpus by using the Machine Learning approach.- Review on Android Malware Detection System.- Hypothesis Testing of Tweet Text using NLP.- Forecasting Severe Thunderstorm by applying SVM Technique on Cloud imageries.- Breast Cancer Prediction using MachineLearning Techniques.- Ontology-Driven Scientific Literature Classification using Clustering and Self-Supervised Learning.- Modeling and forecasting Tuberculosis cases using machine learning and deep learning approaches: A Comparative Study.- Drone Integrated Detection and Rebarbative System with Variable Frequency for Agricultural Farm Invading Animals.- Support Vector Machines and Random Forest Classification models for identification of Stability in Extrusion Film Casting Process.- Predicting CO2 emissions by Vehicles using Machine Learning.- Augmented Feature Generation using Maximum Mutual Information Minimum Correlation.- Impact of Energy Sector on Climate Change in India using Forecasting Models.- Towards Efficient Edge Computing Through Adoption of Reinforcement Learning Strategies: A Review.- Thematic Classification Based On Topological Traits.- Machine Learning based Earthquake Early Warning (EEW) System: A case study of Himalayan Region.- Topic Modelling Based Semantic Search.- Machine Learning based Automated Process for Predicting the Anomaly in AIS Data.- A Hybrid Machine Learning Model for Estimation of Obesity Levels.- Part II: AI
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