1st Edition
Intelligent Business Analytics Harnessing the Power of Soft Computing for Data-Driven Insights
Chapter 1 Soft Computing Paradigms: A Gateway to Intelligent Data Analysis
Pawan Whig, Siva Subrahmanyam Balantrapu, Nikhitha Yathiraju, Anupriya Jain, and Seema Sharma
Chapter 2 An Overview of Prophesying Line of Work through Networks and Deep Learning
Debashree Chakravarty, Ipseeta Satpathy, Vishal Jain, and B.C.M. Patnaik
Chapter 3 Machine Learning- Based Market Segmentation with Data Mining for Proficient Data- Driven Business
Harshitha Aparna, Y.V. Sai Bhavana, C. Gururaj, and Aditi N. Nandi
Chapter 4 Versatility of Neural Networks in Business Data Analytics: Comprehensive Review and Future Directions
Bhupinder Singh and Christian Kaunert
Chapter 5 Neural Networks and Deep Learning in Predictive Modeling
Manoj Kumar Mahto, Durgesh Srivastava, and Santosh Kumar Srivastava
Chapter 6 Swarm Intelligence in Customer Segmentation
Reeta Mishra, Padmesh Tripathi, Bhanumati Panda, and Nitendra Kumar
Chapter 7 Data- Driven Insights for Decision- Making in the Stock Market by Using Meta- Analyses
Mani Jindal, Ramji Nagariya, Vijayalaxmi Rajendran, Durgansh Sharma, Akhilesh Tiwari, and Sunny Joseph
Chapter 8 Hybrid Soft Computing Approaches for Business Recommendation142
Sushil Kumar Maurya, Uusha Patel, Nirmal Sharma, Sameera Iqbal, Shweta Rai, and Surya Kant Pal
Chapter 9 Enhancing Personalized Brand Recommendations through Machine Learning- Driven Analysis of User Behavior and Brand Interaction
V. Thamilarasi, G. Sivaraman, R. Harihara Krishnan, S. K. Kavitha, and P. Pushpa
Chapter 10 Advanced Visualization Techniques for Soft Computing Results
Reeta Mishra, Padmesh Tripathi, Vishwanath Jha, and Ravindra Kumar
Chapter 11 Embroilment of Deep Learning in Business Analytics for Sustainable Growth
Ravi Prakash Chaturvedi, Annu Mishra, Sameer Asthana, Mayank Parashar, and Poorva Nayyar
Chapter 12 Application of Soft Computing in Business Analytics: A Journey into Intelligent Data Insights
Ankita Nayak, Ipseeta Satpathy, and Vishal Jain
Chapter 13 Applications of Deep Learning Techniques in Businesses: Challenges and Opportunities for Data Integration
Pallavi Sharda Garg, Archana Singh, and Samarth Sharma
Chapter 14 Harnessing Artificial Emotional Intelligence for the Improvement of Teaching Learning Process in Digital Classroom
Kamini Kanchan and Santanu Modak
Chapter 15 Education and Training Revolution: A Review on AR, VR, and IoT Integration in Educational Perspective
Vimala Govindaraju and Dhanabalan Thangam
Chapter 16 Leveraging Artificial Intelligence and Machine Learning for Enhancing Financial Inclusion Opportunities, Challenges, and Ethical Considerations
Lakhwinder Kaur Dhillon and Sanjeev Bansal
Biography
Nitendra Kumar, PhD, is an assistant professor at the Amity Business School, Amity University, Noida, India.
Lakhwinder Kaur Dhillon, PhD, is an associate professor and specialized faculty member in corporate finance, strategic financial management, accounting for managers and international finance and Forex management at Amity University, Uttar Pradesh, India.
Mridul Dharwal, PhD, is a professor of economics in the Management Department, School of Business Studies, Sharda University, Uttar Pradesh, India.
Elena V. Korchagina, PhD, is a professor at Peter the Great St. Petersburg Polytechnic University, Institute of Industrial Management, Economics and Trade, St. Petersburg, Russia.
Vishal Jain, PhD, is an associate professor at Sharda University, Uttar Pradesh, India.
