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Data-Driven Business Intelligence Systems for Socio-Technical Organizations

Data-Driven Business Intelligence Systems for Socio-Technical Organizations
Data-Driven Business Intelligence Systems for Socio-Technical Organizations

Data-Driven Business Intelligence Systems for Socio-Technical Organizations

Composite package | English
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€351.95
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Description

Pantea Keikhosrokiani is currently a postdoctoral researcher at the Faculty of Information Technology & Electrical Engineering as well as Faculty of Medicine as part of 6GESS program. She received the Bachelor of Science degree in electrical and electronics engineering. She further perused the master’s degree in information technology and PhD in service system engineering, information system from the School of Computer Sciences, Universiti Sains Malaysia (USM), Malaysia. She was a Teaching Fellow with the National Advanced IPv6 Centre of Excellence (Nav6), USM, where she is currently a Senior Lecturer with the School of Computer Sciences since 2018. Her recent books and articles were published by distinguished publishers (Elsevier, Springer, Taylors and Francis, and IGI Global). Her research interests include AI-augmented information systems, database systems, health and medical informatics, business intelligence, behavioral analytics, opinion mining, big data, and technopreneurship.

Pantea Keikhosrokiani is currently a postdoctoral researcher at the Faculty of Information Technology & Electrical Engineering as well as Faculty of Medicine as part of 6GESS program. She received the Bachelor of Science degree in electrical and electronics engineering. She further perused the master’s degree in information technology and PhD in service system engineering, information system from the School of Computer Sciences, Universiti Sains Malaysia (USM), Malaysia. She was a Teaching Fellow with the National Advanced IPv6 Centre of Excellence (Nav6), USM, where she is currently a Senior Lecturer with the School of Computer Sciences since 2018. Her recent books and articles were published by distinguished publishers (Elsevier, Springer, Taylors and Francis, and IGI Global). Her research interests include AI-augmented information systems, database systems, health and medical informatics, business intelligence, behavioral analytics, opinion mining, big data, and technopreneurship.

Specifications

  • Publisher
    Business Science Reference
  • Pub date
    Apr 2024
  • Pages
    490
  • Theme
    Business mathematics and systems
  • Dimensions
    279 x 216 mm
  • EAN
    9798369312131
  • Composite package
    Composite package
  • Language
    English