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 /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Hacid, Hakim (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Sheng, Quan Z. (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Yoshida, Tetsuya (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Sarkheyli, Azadeh (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Zhou, Rui (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2019.
• Έκδοση: 1st ed. 2019.
• Σειρά: Information Systems and Applications, incl. Internet/Web, and HCI ; 11235
• Θέματα: Application software.; Information storage and retrieval.; Artificial intelligence.; Computer system failures.; Information Systems Applications (incl. Internet).; Information Storage and Retrieval.; Artificial Intelligence.; System Performance and Evaluation.

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 i...

Πίνακας περιεχομένων:

• 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.