AI-Based Data Analytics

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big data
blockchain e-commerce applications
business intelligence
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Category=UNC
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cloud computing
consumer behavior analytics
decision-making
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eq_business-finance-law
eq_computing
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eq_non-fiction
explainable artificial intelligence
federated learning
Industry 4.0
predictive maintenance IoT
sentiment analysis
social media sentiment analysis methods
web analytics strategies

Product details

  • ISBN 9781032411767
  • Weight: 580g
  • Dimensions: 156 x 234mm
  • Publication Date: 29 Dec 2023
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Hardback
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This book covers various topics related to marketing and business analytics. It explores how organizations can increase their profits by making better decisions in a timely manner through the use of data analytics. This book is meant for students, practitioners, industry professionals, researchers, and academics working in the field of commerce and marketing, big data analytics, and organizational decision-making. Highlights of the book include:

  • The role of Explainable AI in improving customer experiences in e-commerce
  • Sentiment analysis of social media
  • Data analytics in business intelligence
  • Federated learning for business intelligence
  • AI-based planning of business management
  • An AI-based business model innovation in new technologies
  • An analysis of social media marketing and online impulse buying behaviour

AI-Based Data Analytics: Applications for Business Management has two primary focuses. The first is on analytics for decision-making and covers big data analytics for market intelligence, data analytics and consumer behavior, and the role of big data analytics in organizational decision-making. The book’s second focus is on digital marketing and includes the prediction of marketing by consumer analytics, web analytics for digital marketing, smart retailing, and leveraging web analytics for optimizing digital marketing strategies.

Dr. Kiran Chaudhary is an Assistant Professor in the Department of Commerce, Shivaji College, University of Delhi and has 12 years of teaching and research experience. She earned a Ph.D. in Marketing from Kurukshetra University, India. Her areas of research include marketing, human resource management, organizational behavior, and business and corporate law. A distinguished student winning various awards of recognition, she is a book author as well as conference and journal paper author.

Dr. Mansaf Alam is an Associate Professor in the Department of Computer Science, Faculty of Natural Sciences, Jamia Millia Islamia University, New Delhi, India. He has also been Young Faculty Research Fellow for the Ministry of Electronics and Information Technology in India and the Editor-in-Chief for Journal of Applied Information Science. A journal and conference paper author, he conducts research in such area as big data analytics, machine learning & deep learning, cloud computing, cloud database management systems, object- oriented database systems, information retrieval, and data mining. His other academic activities include journal reviewer, member of conference program committees, journal editorial board member, and book author.