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 / Hakim Hacid, Quan Z. Sheng, Tetsuya Yoshida, Azadeh Sarkheyli, Rui Zhou (Eds.)

1. A novel data quality metric for minimality / Lisa Ehrlinger, Wolfram Wöß -- 2. Automated schema quality measurement in large-scale information systems / Lisa Ehrlinger, Wolfram Wöß -- 3. Email importance evaluation in mailing list discussions / Kun Jiang, Chunming Hu, Jie Sun, Qi Shen, Xiaohan Jiang -- 4. SETTRUST : social exchange theory based context-aware trust prediction in online social networks / Seyed Mohssen Ghafari, Shahpar Yakhchi, Amin Beheshti, Mehmet Orgun -- 5. CNR : cross-network recommendation embedding user's personality / Shahpar Yakhchi, Seyed Mohssen Ghafari, Amin Behesthi -- 6. Firefly algorithm with proportional adjustment strategy / Jing Wang, Guiyuan Liu, William Wei Song -- 7. A formal taxonomy of temporal data defects / João Marcelo Borovina Josko -- 8. Data-intensive computing acceleration with Python in Xilinx FPGA / Yalin Yang, Linjie Xu, Zichen Xu, Yuhao Wang -- 9. Delone and McLean IS success model for evaluating knowledge sharing / Azadeh Sarkheyli, William Wei Song

Available to OhioLINK libraries

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. -- Provided by publisher