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Data Quality and Trust in Big Data

  • Kartonierter Einband
  • 148 Seiten
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This book constitutes revised selected papers from the International Workshop on Data Quality and Trust in Big Data, QUAT 2018, wh... Weiterlesen
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Beschreibung

This book constitutes revised selected papers from the International Workshop on Data Quality and Trust in Big Data, QUAT 2018, which was held in conjunction with the International Conference on Web Information Systems Engineering, WISE 2018, in Dubai, UAE, in November 2018.

The 9 papers presented in this volume were carefully reviewed and selected from 15 submissions. They deal with novel ideas and solutions related to the problems of exploring, assessing, monitoring, improving, and maintaining the quality of data and trust for Big Data.



Inhalt
A Novel Data Quality Metric for Minimality.- Automated Schema Quality Measurement in Large-scale Information Systems.- Email Importance Evaluation in Mailing List Discussions.- SETTRUST: Social Exchange Theory Based Context- Aware Trust Prediction in Online Social Networks.- CNR: Cross-Network Recommendation Embedding User's Personality.- Firefly Algorithm with Proportional Adjustment Strategy.- A Formal Taxonomy of Temporal Data Defects.- Data-intensive Computing Acceleration with Python in Xilinx FPGA.- Delone and McLean IS Success Model for Evaluating Knowledge Sharing.

Produktinformationen

Titel: Data Quality and Trust in Big Data
Untertitel: 5th International Workshop, QUAT 2018, Held in Conjunction with WISE 2018, Dubai, UAE, November 12-15, 2018, Revised Selected Papers
Editor:
EAN: 9783030191429
ISBN: 3030191427
Format: Kartonierter Einband
Herausgeber: Springer International Publishing
Anzahl Seiten: 148
Gewicht: 236g
Größe: H235mm x B155mm x T8mm
Jahr: 2019
Untertitel: Englisch
Auflage: 1st ed. 2019

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