Advances in Data Science and Information Engineering

The book presents the proceedings of two conferences: the 16th International Conference on Data Science (ICDATA 2020) and the 19th International Conference on Information & Knowledge Engineering (IKE 2020), which took place in Las Vegas, NV, USA, July 27-30, 2020. The conferences are part of the larger 2020 World Congress in Computer Science, Computer Engineering, & Applied Computing (CSCE'20), which features 20 major tracks. Papers cover all aspects of Data Science, Data Mining, Machine Learning, Artificial and Computational Intelligence (ICDATA) and Information Retrieval Systems, Information & Knowledge Engineering, Management and Cyber-Learning (IKE). Authors include academics, researchers, professionals, and students.

• Presents the proceedings of the 16th International Conference on Data Science (ICDATA 2020) and the 19th International Conference on Information & Knowledge Engineering (IKE 2020); 
• Includes papers on topics from data mining to machine learning to informational retrieval systems;
• Authors include academics, researchers, professionals and students.

Introduction.-  Part I: Data Mining/Machine Learning Tasks.- Data Mining Algorithms.- Data Mining Integration.- Data Mining Process.- Data Mining Applications.- Data Mining Software.- Algorithms for Big Data.- Big Data Fundamentals.- Infrastructures for Big Data.- Big Data Management and Frameworks.- Big Data Search.- Privacy in the Era of Big Data.- Applications of Big Data.- Part II: information Retrieval Systems.- Knowledge Management and Cyber-Learning.- Database Engineering and Systems.- Data and Knowledge Processing.- Databanks: Issues, Methods, and Standards.- Data Warehousing and Datacenters.- Health Information Systems.- Data Security and Privacy Issues.- Information Reliability and Security.- Information and Knowledge Structures.- Knowledge Life Cycle.- Conclusion.