Advances in Big Data Analytics: Theory, Algorithms and Practices / Yong Shi
Publication year: 2022
ISBN: 978-981-16-3607-3
Internet Resource: Please Login to download book
Provides a comprehensive and cutting-edge study on big data analytics, based on the research findings and applications developed by the author and his colleagues in related areas. It addresses the concepts of big data analytics and/or data science, multi-criteria optimization for learning, expert and rule-based data analysis, support vector machines for classification, feature selection, data stream analysis, learning analysis, sentiment analysis, link analysis, and evaluation analysis. The book also explores lessons learned in applying big data to business, engineering and healthcare. Lastly, it addresses the advanced topic of intelligence-quotient (IQ) tests for artificial intelligence.
Subject: Data Science, Big Data, Data Mining, Knowledge Discovery, Models of Computation, Big Data Analysis, Data Science, Multi-Criteria Optimization, Support Vector Machine, Feature Selection Data Streams, Learning Analysis, Sentiment Analysis, Link Analysis, Evaluation Analysis, COVID-19 and Social Media, IQ test for Artificial Intelligence and Applications
