Buch, Englisch, Band 3172, Format (B × H): 155 mm x 235 mm
12th International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2026, Singapore, Singapore, September 25–27, 2026, Proceedings, Part I
Buch, Englisch, Band 3172, Format (B × H): 155 mm x 235 mm
Reihe: Communications in Computer and Information Science
ISBN: 978-981-9288-16-8
Verlag: Springer Singapore
This book constitutes the refereed proceedings of the 12th International Conference on Data Science, ICPCSEE 2026, held in , , during .
The 48 full papers included in this book were carefully reviewed and selected from 162 submissions. They were organized in topical sections as follows:
Part I: Big Data Management and Applications; Machine Learning for Data Science; Data Security and Privacy; Applications of Data Science; Case Study of Data Science; Data-driven Bioinformatics; Data Marketing and Economics; Social Media and Recommendation Systems; Data-driven Security; Novel methods for data analytics; Education using big data, intelligent computing or data mining; Education research, methods and materials for data science and engineering.
Part II : DataVisualization; BigDataMiningandKnowledgeManagement; InfrastructureforDataScience; MultimediaDataManagementandAnalysis; Data-drivenScientificResearch; Educationusingbigdata,intelligentcomputingordatamining,etc.; Education research, methods and materials for data science and engineering and Education Demo.
Zielgruppe
Research
Autoren/Hrsg.
Weitere Infos & Material
.- Big Data Management and Applications.
.- Lower Bounds for Multidimensional Dynamic Time Warping.
.- Machine Learning for Data Science.
.- Dynamic Difference-Based Explainability for Temporal Graph Neural Networks.
.- Data Security and Privacy.
.- Noise-Path Consistency as a Structural Invariant for Detecting and Purifying Adversarial
Examples.
.- Applications of Data Science.
.- Research on the Influencing Factors and Countermeasures of Tourism Revenue in Hainan
Province.
.- Case Study of Data Science.
.- Design and Practice of an Integrated "Competition-Course-Certification" Teaching
Mechanism for Application-Oriented Undergraduates.
.- Data-driven Bioinformatics.
.- Research on Fact Enhancement Methods for Large Language Models Based on Collaborative
Optimization of Retrieval Augmentation and Prompt Engineering.
.- Predicting lncRNA?protein Interactions via Extremely Randomized Trees and a Densely
Connected Convolutional Network.
.- Data Marketing and Economics.
.- Beyond Economic Costs: Evaluating the Determinants of China's Birth Rate Using Nonlinear
Threshold Modeling and Time-Series Analysis.
.- Social Media and Recommendation Systems.
.- Analysis of E-commerce Demand Prediction Based on Optimized Resource Allocation.
.- Data-driven Security.
.- Early Warning of Cross-border Settlement Risk in the Hainan Free Trade Port Based on a
Multimodal Large Language Model and Adaptive Threshold Optimization.
.- Novel methods for data analytics.
.- Adaptive Hierarchical Storage and Compression Optimization for Time-Series Databases
over NVM.
.- IncKIFA: Incremental Monitoring of Key Explanatory Factor Combinations over Evolving
Multidimensional Data.
.- Education using big data, intelligent computing or data mining, etc.
.- Exploring the Impact of Generative AI on Personalized English Teaching in Higher
Vocational Education: Student Perceptions and Teacher Roles.
.- Research on the Factors Influencing College Students' Evaluation of Teaching—An
Empirical Analysis Based on Panel Data from S College from 2020 to 2024.
.- Challenges and Countermeasures in the Software Engineering 3.0 Era.
.- A Quantitative Evaluation Method for College Students' Labor Literacy Based on Hybrid
Weights and a Backpropagation Neural Network.
.- AI-Assisted Mining and Integration of Ideological and Political Elements in Higher
Vocational Computer Courses: A Study on Method.
.- Education research, methods and materials for data science and engineering.
.- Practice and Effectiveness of Teaching Reform Integrating Post-Course-Competition-Certificate Synergy and AI Empowerment: A Case Study of a Basic Information Technology Course in Higher Vocational Education.
.- Empirical Research on the Factors Influencing Student Evaluation of Teaching
Effectiveness—Based on Students' Perspectives.
.- Practical Research on Evidence-Based Instruction for Knowledge Structuration: Curriculum
Reform of Software Engineering and UML.
.- Development and Application of Generative Large Model Teaching Resources in Digital
Image Processing Education..
.- Exploration of AI-Empowered DPRS Teaching Mode in Middle School Information
Technology.
.- Tripartite Mentorship Model for Postgraduate Cultivation of Science and Engineering Majors
under University-Enterprise Collaboration in the AI Era.
