Business Intelligence, Computational Mathematics, and Data Analytics (eBook, PDF)

First International Conference, IBCD 2024, Indore, India, August 18-19, 2024, Proceedings
Redaktion: Gupta, V. B.; Martinez-Rodriguez, Jose L.; Ortiz-Rodríguez, Fernando; Shandilya, Shishir Kumar

• Format: PDF

Produktbeschreibung

This book constitutes the proceedings of the First International Conference on Business Intelligence, Computational Mathematics, and Data Analytics, IBCD 2024, held in Indore, India, during August 18-19, 2024.

The conference focus on applied intelligence across data science, mathematics, healthcare, cybersecurity, and business analytics, and will serve as a driving force for transforming theoretical breakthroughs into practical, real-world solutions with meaningful societal impact.

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Produktdetails

• Verlag: Springer International Publishing
• Seitenzahl: 241
• Erscheinungstermin: 2. Mai 2025
• Englisch
• ISBN-13: 9783031875113
• Artikelnr.: 74060434

Inhaltsangabe

.- 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.