New Knowledge in Information Systems and Technologies Volume 1 /

This book includes a selection of articles from The 2019 World Conference on Information Systems and Technologies (WorldCIST'19), held from April 16 to 19, at La Toja, Spain. WorldCIST is a global forum for researchers and practitioners to present and discuss recent results and innovations, cur...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Rocha, Álvaro (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Adeli, Hojjat (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Reis, Luís Paulo (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Costanzo, Sandra (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2019.
Έκδοση:1st ed. 2019.
Σειρά:Advances in Intelligent Systems and Computing, 930
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • My Employer's Prestige, My Prestige
  • The Four Major Factors Impacting on the Future of Work
  • The Future of the Digital Workforce: Current and Future Challenges for Executive and Administrative Assistants
  • Project Management Practices at Portuguese Startups
  • Segmentation of Magnetic Anomalies in the Conduct of Archaeological Excavations
  • Automatic Document Annotation with Data Mining Algorithms
  • Information and Communication Technologies in Creative and Sustainable Tourism
  • Digital Strategy for SMEs in the Retail Business to Allow Sales Increase
  • Improvement of the Applicability of the General Data Protection Regulation in Health Clinics
  • The Use of LinkedIn for ICT Recruitment
  • The Role of Technologies: Creating a New Labour Market
  • ERP Conceptual Ecology
  • Data Quality Mining
  • Trusted Data's Marketplace
  • An approach to GDPR based on Object Role Modeling
  • Patterns of Ambiguity in Textual Requirements Specification
  • Absenteeism prediction in Call Center Using Machine Learning Algorithms.