Analytics, Machine Learning, and Artificial Intelligence
Second Analytics Global Conference, AGC 2024, Kolkata, India, March 6-7, 2024, Revised Selected Papers
Herausgegeben:Dhar, Suparna; Goswami, Sanjay; Unni Krishnan, Dinesh Kumar; Bose, Indranil; Dubey, Rameshwar; Mazumdar, Chandan
Analytics, Machine Learning, and Artificial Intelligence
Second Analytics Global Conference, AGC 2024, Kolkata, India, March 6-7, 2024, Revised Selected Papers
Herausgegeben:Dhar, Suparna; Goswami, Sanjay; Unni Krishnan, Dinesh Kumar; Bose, Indranil; Dubey, Rameshwar; Mazumdar, Chandan
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This book constitutes the refereed proceedings of the Second Analytics Global Conference on Analytics, Machine Learning, and Artificial Intelligence, AGC 2024, held in Kolkata, India, during March 6-7, 2024.
The 15 full papers and 3 short papers presented in these proceedings were carefully reviewed and selected from 60 submissions. The papers are organized in these topical sections: applications of analytics in business; analytics methods, tools & techniques.
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This book constitutes the refereed proceedings of the Second Analytics Global Conference on Analytics, Machine Learning, and Artificial Intelligence, AGC 2024, held in Kolkata, India, during March 6-7, 2024.
The 15 full papers and 3 short papers presented in these proceedings were carefully reviewed and selected from 60 submissions. The papers are organized in these topical sections: applications of analytics in business; analytics methods, tools & techniques.
The 15 full papers and 3 short papers presented in these proceedings were carefully reviewed and selected from 60 submissions. The papers are organized in these topical sections: applications of analytics in business; analytics methods, tools & techniques.
Produktdetails
- Produktdetails
- Communications in Computer and Information Science 2224
- Verlag: Springer / Springer Nature Switzerland / Springer, Berlin
- Artikelnr. des Verlages: 978-3-031-75156-1
- Seitenzahl: 280
- Erscheinungstermin: 21. November 2024
- Englisch
- Abmessung: 235mm x 155mm x 16mm
- Gewicht: 429g
- ISBN-13: 9783031751561
- ISBN-10: 3031751566
- Artikelnr.: 71524835
- Herstellerkennzeichnung
- Springer-Verlag GmbH
- Tiergartenstr. 17
- 69121 Heidelberg
- ProductSafety@springernature.com
- Communications in Computer and Information Science 2224
- Verlag: Springer / Springer Nature Switzerland / Springer, Berlin
- Artikelnr. des Verlages: 978-3-031-75156-1
- Seitenzahl: 280
- Erscheinungstermin: 21. November 2024
- Englisch
- Abmessung: 235mm x 155mm x 16mm
- Gewicht: 429g
- ISBN-13: 9783031751561
- ISBN-10: 3031751566
- Artikelnr.: 71524835
- Herstellerkennzeichnung
- Springer-Verlag GmbH
- Tiergartenstr. 17
- 69121 Heidelberg
- ProductSafety@springernature.com
.- Applications of Analytics in Business.
.- Next-Gen Cold Storage Surveillance Platform.
.- Attack Hypergraph: A Framework for Modeling Multi-Stage Attacks.
.- Ensuring Integrity in Blockchain-Based Health Information Exchange through Collaborative Data Safeguards.
.- Predictive Modelling of Airline Baggage Complaints Using Facebook Prophet: A Time Series Analysis.
.- Path Planning in Disaster Management Scenarios.
.- Analytics Methods, Tools & Techniques.
.- Machine Learning-Driven Feature Selection for Performance Analysis in Student Mental Health.
.- Utilizing Social Media for Understanding Public Opinion on Transportation in Indian Cities.
.- Classification of Various Iris Patterns of Amphibians using Geometric and Color Features.
.- Recognition of the Hornbill Eye's Iris using Bit Plane Processing, Un-Sharp Masking and High Boost Filtering.
.- Analyzing Post-Shopping Facial Expressions Unraveling Emotions for Enhanced Consumer Insights.
.- AI Based Energy Resources Management for PV/Wind/Diesel/Battery Hybrid System.
.- Unraveling the Complexity of Anti-Vax Concerns during the COVID-19 Pandemic.
.- Recommending influential authors using content-based filtering and network similarity-a case study on disease-related research.
.- An Examination of the Effectiveness of SMOTE-based Algorithms on Software Defect Prediction.
.- Development of An Essential Education Performance Prediction Tool Using Machine Learning.
.- Groundwater Quality Assessment of Indian Pumping Stations using Unsupervised Machine Learning and Cluster Analysis.
.- Predicting Performance of Players in the Knockouts of Cricket World Cup Based on Their Performance in League Matches Using Machine Learning.
.- Lung-UNet: A modified UNet-based DNN for COVID Lung Segmentation from Chest X-Ray and CT-Scan Images.
.- Next-Gen Cold Storage Surveillance Platform.
.- Attack Hypergraph: A Framework for Modeling Multi-Stage Attacks.
.- Ensuring Integrity in Blockchain-Based Health Information Exchange through Collaborative Data Safeguards.
.- Predictive Modelling of Airline Baggage Complaints Using Facebook Prophet: A Time Series Analysis.
.- Path Planning in Disaster Management Scenarios.
.- Analytics Methods, Tools & Techniques.
.- Machine Learning-Driven Feature Selection for Performance Analysis in Student Mental Health.
.- Utilizing Social Media for Understanding Public Opinion on Transportation in Indian Cities.
.- Classification of Various Iris Patterns of Amphibians using Geometric and Color Features.
.- Recognition of the Hornbill Eye's Iris using Bit Plane Processing, Un-Sharp Masking and High Boost Filtering.
.- Analyzing Post-Shopping Facial Expressions Unraveling Emotions for Enhanced Consumer Insights.
.- AI Based Energy Resources Management for PV/Wind/Diesel/Battery Hybrid System.
.- Unraveling the Complexity of Anti-Vax Concerns during the COVID-19 Pandemic.
.- Recommending influential authors using content-based filtering and network similarity-a case study on disease-related research.
.- An Examination of the Effectiveness of SMOTE-based Algorithms on Software Defect Prediction.
.- Development of An Essential Education Performance Prediction Tool Using Machine Learning.
.- Groundwater Quality Assessment of Indian Pumping Stations using Unsupervised Machine Learning and Cluster Analysis.
.- Predicting Performance of Players in the Knockouts of Cricket World Cup Based on Their Performance in League Matches Using Machine Learning.
.- Lung-UNet: A modified UNet-based DNN for COVID Lung Segmentation from Chest X-Ray and CT-Scan Images.
.- Applications of Analytics in Business.
.- Next-Gen Cold Storage Surveillance Platform.
.- Attack Hypergraph: A Framework for Modeling Multi-Stage Attacks.
.- Ensuring Integrity in Blockchain-Based Health Information Exchange through Collaborative Data Safeguards.
.- Predictive Modelling of Airline Baggage Complaints Using Facebook Prophet: A Time Series Analysis.
.- Path Planning in Disaster Management Scenarios.
.- Analytics Methods, Tools & Techniques.
.- Machine Learning-Driven Feature Selection for Performance Analysis in Student Mental Health.
.- Utilizing Social Media for Understanding Public Opinion on Transportation in Indian Cities.
.- Classification of Various Iris Patterns of Amphibians using Geometric and Color Features.
.- Recognition of the Hornbill Eye's Iris using Bit Plane Processing, Un-Sharp Masking and High Boost Filtering.
.- Analyzing Post-Shopping Facial Expressions Unraveling Emotions for Enhanced Consumer Insights.
.- AI Based Energy Resources Management for PV/Wind/Diesel/Battery Hybrid System.
.- Unraveling the Complexity of Anti-Vax Concerns during the COVID-19 Pandemic.
.- Recommending influential authors using content-based filtering and network similarity-a case study on disease-related research.
.- An Examination of the Effectiveness of SMOTE-based Algorithms on Software Defect Prediction.
.- Development of An Essential Education Performance Prediction Tool Using Machine Learning.
.- Groundwater Quality Assessment of Indian Pumping Stations using Unsupervised Machine Learning and Cluster Analysis.
.- Predicting Performance of Players in the Knockouts of Cricket World Cup Based on Their Performance in League Matches Using Machine Learning.
.- Lung-UNet: A modified UNet-based DNN for COVID Lung Segmentation from Chest X-Ray and CT-Scan Images.
.- Next-Gen Cold Storage Surveillance Platform.
.- Attack Hypergraph: A Framework for Modeling Multi-Stage Attacks.
.- Ensuring Integrity in Blockchain-Based Health Information Exchange through Collaborative Data Safeguards.
.- Predictive Modelling of Airline Baggage Complaints Using Facebook Prophet: A Time Series Analysis.
.- Path Planning in Disaster Management Scenarios.
.- Analytics Methods, Tools & Techniques.
.- Machine Learning-Driven Feature Selection for Performance Analysis in Student Mental Health.
.- Utilizing Social Media for Understanding Public Opinion on Transportation in Indian Cities.
.- Classification of Various Iris Patterns of Amphibians using Geometric and Color Features.
.- Recognition of the Hornbill Eye's Iris using Bit Plane Processing, Un-Sharp Masking and High Boost Filtering.
.- Analyzing Post-Shopping Facial Expressions Unraveling Emotions for Enhanced Consumer Insights.
.- AI Based Energy Resources Management for PV/Wind/Diesel/Battery Hybrid System.
.- Unraveling the Complexity of Anti-Vax Concerns during the COVID-19 Pandemic.
.- Recommending influential authors using content-based filtering and network similarity-a case study on disease-related research.
.- An Examination of the Effectiveness of SMOTE-based Algorithms on Software Defect Prediction.
.- Development of An Essential Education Performance Prediction Tool Using Machine Learning.
.- Groundwater Quality Assessment of Indian Pumping Stations using Unsupervised Machine Learning and Cluster Analysis.
.- Predicting Performance of Players in the Knockouts of Cricket World Cup Based on Their Performance in League Matches Using Machine Learning.
.- Lung-UNet: A modified UNet-based DNN for COVID Lung Segmentation from Chest X-Ray and CT-Scan Images.