Quality Management of Workers in an In-House Crowdsourcing-Based Framework for Deduplication of Organizations’ Databases

Quality Management of Workers in an In-House Crowdsourcing-Based Framework for Deduplication of Organizations’ Databases

While organizations in the current era of big data are generating massive volumes of data, they also need to ensure that its quality is maintained for it to be useful in decision-making purposes. The problem of dirty data plagues every organization. One aspect of dirty data is the presence of duplic...

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Bibliographic Details
Main Authors: Morteza Saberi, Omar Khadeer Hussain, Elizabeth Chang
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Quality management
quality control
data quality
duplicate detection
in-house crowdsourcing
Online Access:https://ieeexplore.ieee.org/document/8746175/

Internet

https://ieeexplore.ieee.org/document/8746175/

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