Highlighting the Importance of Big Data Management and Analysis for Various Applications

This book addresses the impacts of various types of services such as infrastructure, platforms, software, and business processes that cloud computing and Big Data have introduced into business. Featuring chapters which discuss effective and efficient approaches in dealing with the inherent complexit...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Moshirpour, Mohammad (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Far, Behrouz (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Alhajj, Reda (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2018.
Έκδοση:1st ed. 2018.
Σειρά:Studies in Big Data, 27
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • Chapter 1. Big data analytics of social network data: Who cares most about you on Facebook?
  • Chapter 2. Characterizing and Predicting Yelp Users' Behavior Composite Visualization Features in
  • Chapter 3. PEVNET: A Framework for Visualization of Criminal Networks
  • Chapter 4. Effective Customer Relationship Managment at ATB Financial A Case Study on Industry-Academia Collaboration in Data Analytics
  • Chapter 5. Effective Personnel Selection and Team Building using Intelligent Data Analytics
  • Chapter 6. Extracting Relevant Information from Big Data to Anticipate Forced Migration
  • Chapter 7. Implicit Social Networks for Social Recommendation of Scholarly Papers
  • Chapter 8. The Effect of Corpora Size on Performance of Named Entity Recognition
  • Chapter 9. Time Series Analysis for the most Frequently Mentioned Biomarkers in Breast Cancer Articles
  • Chapter 10. Transportation Engineering on Social Question and Answer Websites: An Empirical Case Study
  • Chapter 11. Understanding Health Service Delivery Using Spatio-Temporal Patient Mobility Data
  • Chapter 12. WaterVis: GeoVisual Analytics for Exploring Hydrological Data.