Business Intelligence, Computational Mathematics, and Data Analytics: First International Conference, IBCD 2024, Indore, India, August 18–19, 2024, Proceedings

Author:   V. B. Gupta ,  Shishir Kumar Shandilya ,  Fernando Ortiz-Rodríguez ,  Jose L. Martinez-Rodriguez
Publisher:   Springer International Publishing AG
Volume:   2413
ISBN:  

9783031875106


Pages:   241
Publication Date:   03 May 2025
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Business Intelligence, Computational Mathematics, and Data Analytics: First International Conference, IBCD 2024, Indore, India, August 18–19, 2024, Proceedings


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Author:   V. B. Gupta ,  Shishir Kumar Shandilya ,  Fernando Ortiz-Rodríguez ,  Jose L. Martinez-Rodriguez
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
Volume:   2413
ISBN:  

9783031875106


ISBN 10:   3031875109
Pages:   241
Publication Date:   03 May 2025
Audience:   Professional and scholarly ,  College/higher education ,  Professional & Vocational ,  Postgraduate, Research & Scholarly
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

.- Marketing Curriculum Evolution: Developing a Data-driven decision making mindset. .- Facial Expression Tracking and Analysis in Video through Motion with SqueezeNet and SGD. .- AI and Machine Learning: Revolutionizing the Fight Against Online Child Sexual Abuse Material (CSAM). .- Modelling and Evaluation of Land Use Land Cover Changes through Satellite Imagery Data for Ujjain District of Malwa Plateau Region Using Maximum Likelihood Classification and Support Vector Machine. .- Computational approaches to calculate stresses on polycarbonate specimen of rectangular shape and compare with trapezoidal specimen with experimental validation. .- Balancing Privacy and Utility in E-Healthcare Data Analysis: A Comprehensive Review. .- Deep Learning Methods for Network Intrusion Detection Systems. .- Investigating the Dissemination of Deepfake Conversations on Social Media via Tweeting. .- Data Analytics for Fake Content Detection on Web. .- To Study The Impact of Data-Driven Personalized Digital Marketing Campaigns on The Online Sales of Mid-Size Food-Tech Aggregator. .- Sentiment Analysis on Election Data Using Machine Learning and Ensemble Algorithms: An Ample Study. .- The Impact of Migration on Brand Consumption in India: A Qualitative Study. .- A Evaluating Noise Robustness in Machine Learning Classifiers: A Comparative Study. .- Optimization Accuracy of Intrusion Detection System based on Multilayered Neural Network. .- Leveraging Long-Context Large Language Models for Multi-Document Understanding and Summarization in Enterprise Applications. .- Transformations In Finance And Accounting_Navigating Through Technological And Regulatory Shifts.

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