Business Intelligence, Computational Mathematics, and Data Analytics
First International Conference, IBCD 2024, Indore, India, August 18-19, 2024, Proceedings
Herausgegeben:Gupta, V. B.; Shandilya, Shishir Kumar; Ortiz-Rodríguez, Fernando; Martinez-Rodriguez, Jose L.
Business Intelligence, Computational Mathematics, and Data Analytics
First International Conference, IBCD 2024, Indore, India, August 18-19, 2024, Proceedings
Herausgegeben:Gupta, V. B.; Shandilya, Shishir Kumar; Ortiz-Rodríguez, Fernando; Martinez-Rodriguez, Jose L.
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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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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.
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.
Produktdetails
- Produktdetails
- Communications in Computer and Information Science 2413
- Verlag: Springer / Springer Nature Switzerland / Springer, Berlin
- Artikelnr. des Verlages: 978-3-031-87510-6
- Seitenzahl: 256
- Erscheinungstermin: 3. Mai 2025
- Englisch
- Abmessung: 235mm x 155mm x 15mm
- Gewicht: 394g
- ISBN-13: 9783031875106
- ISBN-10: 3031875109
- Artikelnr.: 73318172
- Herstellerkennzeichnung
- Springer-Verlag KG
- Sachsenplatz 4-6
- 1201 Wien, AT
- ProductSafety@springernature.com
- Communications in Computer and Information Science 2413
- Verlag: Springer / Springer Nature Switzerland / Springer, Berlin
- Artikelnr. des Verlages: 978-3-031-87510-6
- Seitenzahl: 256
- Erscheinungstermin: 3. Mai 2025
- Englisch
- Abmessung: 235mm x 155mm x 15mm
- Gewicht: 394g
- ISBN-13: 9783031875106
- ISBN-10: 3031875109
- Artikelnr.: 73318172
- Herstellerkennzeichnung
- Springer-Verlag KG
- Sachsenplatz 4-6
- 1201 Wien, AT
- ProductSafety@springernature.com
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.- Data Analytics for Fake Content Detection on Web.
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.- Sentiment Analysis on Election Data Using Machine Learning and Ensemble Algorithms: An Ample Study.
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.- 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.
.- 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.
.- 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.
.- 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.