Data Analytics 31st British International Conference on Databases, BICOD 2017, London, UK, July 10–12, 2017, Proceedings /

This book constitutes the refereed conference proceedings of the 31st British International Conference on Databases, BICOD 2017 - formerly known as BNCOD (British National Conference on Databases) - held in London, UK, in July 2017. The 17 revised full papers were carefully reviewed and selected fro...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Calì, Andrea (Επιμελητής έκδοσης), Wood, Peter (Επιμελητής έκδοσης), Martin, Nigel (Επιμελητής έκδοσης), Poulovassilis, Alexandra (Επιμελητής έκδοσης)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2017.
Σειρά:Lecture Notes in Computer Science, 10365
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • Towards Interactive User Data Analytics
  • A Conceptual Approach to Traffic Data Wrangling
  • Integrating Online Data for Smart City Data Marts
  • Towards Automatic Data Format Transformations: Data Wrangling at Scale
  • Database Processes for Application Integration
  • Preserving the Value of Large Scale Data Analytics over Time Through Selective Re-computation
  • Statistical Data Analysis of Culture for Innovation Using an Open Data Set from the Australian Public Service
  • Towards a Metaquery Language for Mining the Web of Data
  • Enabling Deep Analytics in Stream Processing Systems
  • Link Prediction Using Top-k Shortest Distances
  • Optimisation Techniques for Flexible Querying in SPARQL 1.1
  • Taming Size and Cardinality of OLAP Data Cubes over Big Data
  • The Ontological Multidimensional Data Model in Quality Data
  • Specification and Extraction
  • Closeness Constraints for Separation of Duties in Cloud Databases as an Optimization Problem
  • WSN-DD: A Wireless Sensor Network Deployment Design Tool
  • A Platform for Edge Computing Based on Raspberry Pi Clusters
  • Effective Document Fingerprinting.