Data Driven Decision Making using Analytics Computational Intelligence Techniques Series

This book aims to explain Data Analytics towards decision making in terms of models and algorithms, theoretical concepts, applications, experiments in relevant domains or focused on specific issues. It explores the concepts of database technology, machine learning, knowledge-based system, high performance computing, information retrieval, finding patterns hidden in large datasets and data visualization. Also, it presents various paradigms including pattern mining, clustering, classification, and data analysis. Overall aim is to provide technical solutions in the field of data analytics and data mining.

Features:

• Covers descriptive statistics with respect to predictive analytics and business analytics.
• Discusses different data analytics platforms for real-time applications.
• Explain SMART business models.
• Includes algorithms in data sciences alongwith automated methods and models.
• Explores varied challenges encountered by researchers and businesses in the realm of real-time analytics.

This book aims at researchers and graduate students in data analytics, data sciences, data mining, and signal processing.

1. Securing big data using big data mining. 2. Analytical Theory: Frequent Pattern Mining. 3. A Journey from Big Data To Data Mining In Quality Improvement. 4. Significance Of Data Mining In The Domain Of Intrusion Detection. 5. Data Analytics and Mining: Platforms for Real-Time Applications. 6. Analysis of Government Policies to Control Pandemic and its affects on Climate Change to improve Decision Making. 7. Data Analytics and Data Mining strategy to improve Quality, Performance and decision making. 8. SMART Business Model -An analytical approach to astute Data Mining for Successful Organization. 9. AI and Healthcare: Praiseworthy aspects and Shortcomings

Dr. Parul Gandhi

A Doctorate in the subject of Computer Science with the study area in Software Engineering from Guru Jambheshwar University, Hisar. She is also a Gold Medalist in M.Sc. Computer Science. She is having a strong inclination towards academics and research. She has 15 yrs of academic, research and administrative experiences. She has published more than 40 research papers in reputed International/ National journal and conferences. Her research interests include software Quality, soft computing, and Software metrics and Component Based Software Development , Data Mining, IOT. Presently she is working as Professor, Manav Rachna International Institute of Research and Studies(MRIIRS), Faridabad. She is also handling the PhD program of the University. She has also been associated as a Editorial Board members of SN Applied Sciences and also a reviewer with various reputed journals of IEEE and Conferences. She has successfully published many book chapters in scopus indexed books and also editing various books with high indexing databases like Wiley and Springer. She is also handling special issues in journals of Elsevier, Springer as a guest editor. She has been called as a resource person in various FDPs and also chaired session in various IEEE conferences. She is the life time member of Computer Society of India.

Dr. Surbhi Bhatia PMP®

A doctorate in Computer Science and Engineering from Banasthali Vidypaith, India. She is currently an Assistant Professor in Department of Information Systems, College of Computer Sciences and Information Technology, King Faisal University, Saudi Arabia. She has rich 8 years of teaching and academic experience. She is in the Editorial board member with Inderscience Publishers in the International Journal of Hybrid Intelligence, SN Applied Sciences, Springer and also in several IEEE conferences. She has been granted seven national and international patents. She has published more than 30