Data Quality and Trust in Big Data (eBook, PDF)

5th International Workshop, QUAT 2018, Held in Conjunction with WISE 2018, Dubai, UAE, November 12-15, 2018, Revised Selected Papers
Redaktion: Hacid, Hakim; Zhou, Rui; Sarkheyli, Azadeh; Yoshida, Tetsuya; Sheng, Quan Z.

• Format: PDF

Produktbeschreibung

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.

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Produktdetails

• Verlag: Springer Nature Switzerland
• Seitenzahl: 137
• Erscheinungstermin: 24. April 2019
• Englisch
• ISBN-13: 9783030191436
• Artikelnr.: 59890603

Inhaltsangabe

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.