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hacid hakim (curatore); sheng quan z. (curatore); yoshida tetsuya (curatore); sarkheyli azadeh (curatore); zhou rui (curatore) - data quality and trust in big data

Data Quality and Trust in Big Data 5th International Workshop, QUAT 2018, Held in Conjunction with WISE 2018, Dubai, UAE, November 12–15, 2018, Revised Selected Papers

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Dettagli

Genere:Libro
Lingua: Inglese
Editore:

Springer

Pubblicazione: 04/2019
Edizione: 1st ed. 2019





Trama

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.





Sommario

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.










Altre Informazioni

ISBN:

9783030191429

Condizione: Nuovo
Collana: Lecture Notes in Computer Science
Dimensioni: 235 x 155 mm Ø 454 gr
Formato: Brossura
Illustration Notes:IX, 137 p. 45 illus., 19 illus. in color.
Pagine Arabe: 137
Pagine Romane: ix


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