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Title Artificial intelligence in forecasting : tools and techniques / editors Sachi Nandan Mohanty, Associate Professor, School of Computer Science & Engineering, VIT-AP University, Amaravati, India, Preethi Nanjundan, Associate Professor, Department of Data Science, Christ (Deemed to be University), Pune, Lavasa, India, Tejaswini Kar, School of Electronics Engineering, KIIT Deemed to be University, Bhubaneswar, India
Edition First edition
Published Boca Raton : CRC Press, 2024

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Description 1 online resource
Summary "Importance of forecasting is to deal with the uncertainty of the future. An accurate Forecasting should be timely available, accurate, reliable and compatible with existing database. Accurate projection of the future is highly demanding for supply chain management, inventory control, economic condition, technology, growth trend, social change, political change, business, weather forecasting, stock price prediction, earth quake prediction and many more. In this direction AI powered tools and techniques of forecasting plays a major role to improve the projection accuracy. AI powered forecasting software uses machine learning techniques to improve accuracy. The software can analyse the past data and can make better prediction about the future trends with higher accuracy and confidence that favours for making proper future planning and decision. Moreover, AI forecasting tools are better in a sense that it can gradually improve its accuracy. In other words, accurate forecasting requires more than just the fitting of models to historical data. Inside, readers will find the latest techniques used by managers in business today, discover the importance of forecasting and learn how it's accomplished. And readers will develop the necessary skills to meet the increased demand for thoughtful and realistic forecasts"-- Provided by publisher
Bibliography Includes bibliographical references and index
Notes Dr. Sachi Nandan Mohanty obtained a PostDoc from IIT Kanpur in 2019 and Ph.D. from IIT Kharagpur, India in 2015, with MHRD scholarship from Government of India. He has authored/edited over 25 books, published by IEEE-Wiley, Springer, Wiley, CRC Press, NOVA and DeGruyter. His research areas include Data Mining, Big Data Analysis, Cognitive Science, Fuzzy Decision Making, Brain-Computer Interface, Cognition, and Computational Intelligence. Prof. S N Mohanty has received 4 Best Paper awards from an International Conference at Beijing, China, and the International Conference on Soft Computing Applications organized by IIT Rookee in 2013. He has awarded Best Thesis award first prize by Computer Society of India in 2015. He has guided 9 PH.D. Scholars. He has published 120 articles in reputable journals and has been elected as FELLOW of Institute of Engineers, European Alliance Innovation (EAI), and Senior member of IEEE Computer Society Hyderabad chapter. He has served as a reviewer of Journal of Robotics and Autonomous Systems (Elsevier), Computational and Structural Biotechnology Journal (Elsevier), Artificial Intelligence Review (Springer), Spatial Information Research (Springer). Dr. Preethi Nanjundanis an Associate Professor in the Department of Data Science at Christ University, Pune, India. She received her doctorate degree (2014), Master of Philosophy in Computer Science (2014), and a master's degree in computer applications (2004) all from Bharathiyar University, Coimbatore, TN, India. Her research and teaching experience spans almost 20 years. Besides publishing over 20 papers in reputed journals, she has contributed chapters to various books and published 5 books. She has 4 patents. In 2020, she received the Best Professor award from Lead India and Vision Digital India. Her contributions to a book titled "Covid 19 and its Impact'' have been inducted into the Indian and Asian books of records. Her research area includes machine learning, natural language processing, and neural network etc. She is a lifetime member of professional societies including Computer Society of India (CSI), International Association of Computer Science and Information Technology (IACSIT), Computer Science Teachers Association, and Indian Society for Technical Education (ISTE). Tejaswini Kar received her B. Tech in Electronics and Telecommunication engineering from Biju Patnaik University of Technology, Odisha, Bhubaneswar, India in 2003. She obtained a M. Tech in communication system engineering from Kalinga Institute of Industrial Technology, in 2008 and Ph.D. degree in Electronics and Telecommunication engineering in 2018 from KIIT deemed to be university, Bhubaneswar, India. She has almost 20 years of teaching experience. She is currently an Assistant Professor with the School of Electronics Engineering, KIIT deemed to be University. She has published many research papers in important conferences and reputable journals. She has served as a reviewer in many peer reviewed journals and conferences. She received best paper award in ICDMAI 2019 held in Malaysia. She has been awarded with certificate of excellence award as a mentor by Samsung for Samsung Prism project in 2022. Her current research interests include image processing, video processing, Machine Learning and Deep Learning
Online resource; title from PDF title page (Taylor & Francis, viewed April 11, 2024)
Subject Artificial intelligence.
Forecasting -- Data processing
Artificial intelligence -- Data processing.
artificial intelligence.
COMPUTERS / Computer Engineering
Artificial intelligence
Artificial intelligence -- Data processing
Forecasting -- Data processing
Form Electronic book
Author Mohanty, Sachi Nandan, editor.
Nanjundan, Preethi, 1980- editor.
Kar, Tejaswini, 1981- editor.
ISBN 9781003399292
1003399290
9781040051528
1040051529
9781040051504
1040051502