Artificial Intelligence in Forecasting: Tools and Techniques
暫譯: 預測中的人工智慧:工具與技術
Mohanty, Sachi, Nanjundan, Preethi, Kar, Tejaswini
- 出版商: CRC
- 出版日期: 2026-05-21
- 售價: $2,700
- 貴賓價: 9.5 折 $2,565
- 語言: 英文
- 頁數: 356
- 裝訂: Quality Paper - also called trade paper
- ISBN: 1032506180
- ISBN-13: 9781032506180
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相關分類:
Machine Learning
海外代購書籍(需單獨結帳)
商品描述
Forecasting deals with the uncertainty of the future. To be effective, forecasting models should be timely available, accurate, reliable, and compatible with existing database. Accurate projection of the future is of vital importance in supply chain management, inventory control, economic condition, technology, growth trend, social change, political change, business, weather forecasting, stock price prediction, earthquake prediction, etc. AI powered tools and techniques of forecasting play a major role in improving the projection accuracy. The software running AI forecasting models use machine learning 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. In other words, accurate forecasting requires more than just the matching of models to historical data.
The book covers the latest techniques used by managers in business today, discover the importance of forecasting and learn how it's accomplished. Readers will also be familiarised with the necessary skills to meet the increased demand for thoughtful and realistic forecasts.
商品描述(中文翻譯)
預測處理未來的不確定性。為了有效,預測模型應該及時可用、準確、可靠,並與現有的資料庫相容。準確的未來預測在供應鏈管理、庫存控制、經濟狀況、技術、成長趨勢、社會變遷、政治變遷、商業、天氣預報、股價預測、地震預測等方面至關重要。人工智慧(AI)驅動的預測工具和技術在提高預測準確性方面扮演著重要角色。運行AI預測模型的軟體使用機器學習來提高準確性。這些軟體可以分析過去的數據,並能以更高的準確性和信心對未來趨勢進行更好的預測,這有助於進行適當的未來規劃和決策。換句話說,準確的預測需要的不僅僅是將模型與歷史數據匹配。
本書涵蓋了當今商業中經理人使用的最新技術,探索預測的重要性並學習如何實現預測。讀者還將熟悉滿足對深思熟慮和現實預測需求增加所需的技能。
作者簡介
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 Nanjundan is 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.
作者簡介(中文翻譯)
Dr. Sachi Nandan Mohanty 於2019年獲得印度坎普爾理工學院(IIT Kanpur)的博士後學位,並於2015年獲得印度卡拉格普爾理工學院(IIT Kharagpur)的博士學位,該學位由印度政府的MHRD獎學金資助。他已撰寫或編輯超過25本書籍,出版商包括IEEE-Wiley、Springer、Wiley、CRC Press、NOVA和DeGruyter。他的研究領域包括資料探勘(Data Mining)、大數據分析(Big Data Analysis)、認知科學(Cognitive Science)、模糊決策(Fuzzy Decision Making)、腦機介面(Brain-Computer Interface)、認知(Cognition)和計算智能(Computational Intelligence)。S N Mohanty教授曾在中國北京的國際會議上獲得4項最佳論文獎,並在2013年由IIT Rookee主辦的國際軟計算應用會議上獲獎。他於2015年獲得印度計算機學會的最佳論文獎第一名。他指導了9位博士生,並在知名期刊上發表了120篇文章,並被選為工程師學會(Institute of Engineers)、歐洲創新聯盟(European Alliance Innovation, EAI)的FELLOW,以及IEEE計算機學會海得拉巴分會的資深會員。他曾擔任《機器人與自主系統期刊》(Journal of Robotics and Autonomous Systems, Elsevier)、《計算與結構生物技術期刊》(Computational and Structural Biotechnology Journal, Elsevier)、《人工智慧評論》(Artificial Intelligence Review, Springer)、《空間資訊研究》(Spatial Information Research, Springer)的審稿人。
Dr. Preethi Nanjundan 是印度浦那基督大學(Christ University, Pune)數據科學系的副教授。她於2014年獲得博士學位、2014年獲得計算機科學碩士學位(Master of Philosophy),以及2004年獲得計算機應用碩士學位,均來自印度泰米爾納德邦的巴拉特雅大學(Bharathiyar University, Coimbatore)。她擁有近20年的研究和教學經驗。除了在知名期刊上發表超過20篇論文外,她還為多本書籍撰寫章節並出版了5本書。她擁有4項專利。2020年,她獲得Lead India和Vision Digital India頒發的最佳教授獎。她對名為《Covid 19及其影響》的書籍的貢獻已被納入印度和亞洲紀錄。她的研究領域包括機器學習(machine learning)、自然語言處理(natural language processing)和神經網絡(neural network)等。她是多個專業學會的終身會員,包括印度計算機學會(Computer Society of India, CSI)、國際計算機科學與資訊技術協會(International Association of Computer Science and Information Technology, IACSIT)、計算機科學教師協會(Computer Science Teachers Association)和印度技術教育學會(Indian Society for Technical Education, ISTE)。
Tejaswini Kar 於2003年獲得印度奧里薩邦布巴內斯瓦爾的比朱帕特奈克科技大學(Biju Patnaik University of Technology, Odisha, Bhubaneswar)電子與電信工程(Electronics and Telecommunication Engineering)學士學位。她於2008年獲得卡林加工業技術學院(Kalinga Institute of Industrial Technology)的通信系統工程碩士學位,並於2018年獲得KIIT(被認定為大學)電子與電信工程的博士學位。她擁有近20年的教學經驗。目前她是KIIT(被認定為大學)電子工程學院的助理教授。她在重要會議和知名期刊上發表了許多研究論文,並在多個同行評審的期刊和會議中擔任審稿人。她在2019年於馬來西亞舉行的ICDMAI會議中獲得最佳論文獎。她於2022年因Samsung Prism項目獲得Samsung頒發的卓越導師證書。她目前的研究興趣包括影像處理(image processing)、視頻處理(video processing)、機器學習(Machine Learning)和深度學習(Deep Learning)。