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Data Science and Reliable Machine Learning

Data Science and Reliable Machine Learning

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In October 2024, researchers, students, and practitioners from Armenia, Chile, Germany, and Japan met at the American University of Armenia for the fourth edition of the Cadassca Workshop on Collaborative Technologies and Data Science in Smart City Applications. This book presents their contributions to emerging methodologies in data science, machine learning, applied and human-centered computing.

This book is included in DOAB.

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  1. 7 - pdf (CC BY-NC-ND) at logos-verlag.de.

Keywords

  • Applied computing
  • Computer system organization
  • Computing Methodologies
  • human-centered computing
  • security
  • thema EDItEUR::U Computing and Information Technology
  • thema EDItEUR::U Computing and Information Technology::UB Information technology: general topics
  • thema EDItEUR::U Computing and Information Technology::UK Computer hardware::UKM Embedded systems
  • thema EDItEUR::U Computing and Information Technology::UN Databases::UNC Data capture and analysis
  • thema EDItEUR::U Computing and Information Technology::UR Computer security
  • thema EDItEUR::U Computing and Information Technology::UR Computer security::URY Data encryption
  • thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence

Links

DOI: 10.30819/5855

Editions

edition cover

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