Zhu / Wang / Sun | Data Science | Buch | 978-981-9288-19-9 | www.sack.de

Buch, Englisch, Band 3173, Format (B × H): 155 mm x 235 mm

Reihe: Communications in Computer and Information Science

Zhu / Wang / Sun

Data Science

12th International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2026, Singapore, Singapore, September 25–27, 2026, Proceedings, Part II
Erscheinungsjahr 2027
ISBN: 978-981-9288-19-9
Verlag: Springer Singapore

12th International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2026, Singapore, Singapore, September 25–27, 2026, Proceedings, Part II

Buch, Englisch, Band 3173, Format (B × H): 155 mm x 235 mm

Reihe: Communications in Computer and Information Science

ISBN: 978-981-9288-19-9
Verlag: Springer Singapore

This book constitutes the refereed proceedings of the 12th International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2026, held in Singapore, Singapore, during September 25–27, 2026.

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.

Zhu / Wang / Sun Data Science jetzt bestellen!

Zielgruppe

Research

Autoren/Hrsg.

Zhu, Feida
Wang, Hongzhi
Sun, Guanglu
Han, Qilong
Song, Xianhua
Lu, Zeguang

Weitere Infos & Material

.- DataVisualization.

.- Digital Leadership inEducation:ABibliometric andVisual ReviewofResearchStatus,
Hotspots,andTrendsBasedonCiteSpace(2010–2025).

.- BigDataMiningandKnowledgeManagement.

.- PNN-LSH: An Efficient LSH Index for Probabilistic Nearest Neighbor Search on
High-dimensionalUncertainData.

.- InfrastructureforDataScience.

.- ResearchonDynamicTopologyDiscoveryforSDN-basedNetworks.

.- MultimediaDataManagementandAnalysis.

.- ResearchonPaper-cuttingImageRecognitionBasedonMulti-scaleSymmetricalPerception.

.- MAC-VRD:AReasoningDatasetBasedonMulti-agentCollaborativeMethod.

.- Data-drivenScientificResearch.

.- AData-DrivenEducational EquityAssessment FrameworkwithWeightedModelingand
VisualAnalytics.

.- Educationusingbigdata,intelligentcomputingordatamining,etc.

.- AMulti-AgentSystemFrameworkInfusedwithSelf-DeterminationTheoryforPersonalized
Learning.

.- PracticalModelofAI-DrivenSmartClassroomTeachingGuidedbyBloom'sTaxonomy.

.- ResearchontheDesignandApplicationofPromptEngineeringBasedontheCDIO:ACase
Studyofthe"ProgrammingandIntelligentHealthcare"Course.

.- EmpoweringDataStructuresEducation:ACustomized"CourseRecommendation"Platform
GroundedinOutcome-BasedEducation.

.- Multi-Agent GenerativeArtificial Intelligence Framework for FacilitatingMetacognition
withAffectiveandMotivationalScaffolds.

.- AKnowledge-DrivenFrameworkforTeachingDatabaseConfigurationandTuning.

.- ANovelOptimizationFrameworkforContinuousRangeQueriesinMobileEdgeComputing
forSecureandService-OrientedSmartCampuses.

.- ConstructionofaMachineLearning-BasedSystemforPeerReviewEffectivenessPrediction
andIntelligentGuidance.

.- Education research, methods and materials for data science and engineering.

.- Practical Research on the 5E Teaching Mode in a Software Testing Course.

.- Integrating Differential Privacy into Statistics Education: A Competition-Based Pedagogical
Framework..

.- Restructuring the Data Structures and Algorithms Course: Practicing the KPDP Model in
Software Engineering Education.

.- AI-Enabled Software Testing Course: Innovation and Practical Exploration.

.- Research on Teaching Reform in Computer System Design Practice for RISC-V.

.- AThree-Driver Integrated Model for Personalized Software Engineering Education Based on
an Undergraduate Tuto.

.- Research on Teaching Reform for Enhancing Research Literacy under the Background of
“Research-Teaching Integration”.

.- AuditAgent: Security Review for Content Generation in Multiagent Workflows.

.- Guided-Planning A University Education System Based on Multi-Agent Collaboration.

.- Project-Based Teaching Reform and Exploration of Artificial Intelligence Course Cluster
Based on NEET Model under the Background of Emerging Engineering Education.

.- Education Demo.

.- A Virtual Multi-person Collaborative Maintenance Training System Using for Aeroengine.

Ihre Fragen, Wünsche oder Anmerkungen
Vorname*
Nachname*
Ihre E-Mail-Adresse*
Kundennr.
Ihre Nachricht*
Lediglich mit * gekennzeichnete Felder sind Pflichtfelder.
Wenn Sie die im Kontaktformular eingegebenen Daten durch Klick auf den nachfolgenden Button übersenden, erklären Sie sich damit einverstanden, dass wir Ihr Angaben für die Beantwortung Ihrer Anfrage verwenden. Selbstverständlich werden Ihre Daten vertraulich behandelt und nicht an Dritte weitergegeben. Sie können der Verwendung Ihrer Daten jederzeit widersprechen. Das Datenhandling bei Sack Fachmedien erklären wir Ihnen in unserer Datenschutzerklärung.