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Crowdsourced data management: Overview and challenges
Many important data management and analytics tasks cannot be completely addressed by
automated processes. Crowdsourcing is an effective way to harness human cognitive …
automated processes. Crowdsourcing is an effective way to harness human cognitive …
Crowdsourced data management: A survey
Any important data management and analytics tasks cannot be completely addressed by
automated processes. These tasks, such as entity resolution, sentiment analysis, and image …
automated processes. These tasks, such as entity resolution, sentiment analysis, and image …
Incomplete data management: a survey
Incomplete data accompanies our life processes and covers almost all fields of scientific
studies, as a result of delivery failure, no power of battery, accidental loss, etc. However, how …
studies, as a result of delivery failure, no power of battery, accidental loss, etc. However, how …
[PDF][PDF] 众包技术研究综述
冯剑红, **国良, 冯建华 - 计算机学报, 2015 - cjc.ict.ac.cn
摘要众包通过整合计算机和互联网上未知的大众来完成机器单独难以处理的任务. 自从2009
年开始, 众包得到了各个领域的广泛关注, 包括人机交互, 信息检索, 机器学**, 数据库, 人工智能 …
年开始, 众包得到了各个领域的广泛关注, 包括人机交互, 信息检索, 机器学**, 数据库, 人工智能 …
SCSA: Evaluating skyline queries in incomplete data
Skyline queries have been extensively incorporated in various contemporary database
applications. The list includes but is not limited to multi-criteria decision-making systems …
applications. The list includes but is not limited to multi-criteria decision-making systems …
Design patterns for hybrid algorithmic-crowdsourcing workflows
Crowd sourcing has shown to be a powerful technique for over-coming many challenges in
data and information processing where current state-of-the-art algorithms are still struggling …
data and information processing where current state-of-the-art algorithms are still struggling …
Crowdsourcing of labeling image objects: An online gamification application for data collection
This study aimed to improve the labeling of objects inside images in the crowdsourcing
process. Images are one of the most widely used types of data on the internet. Controlling …
process. Images are one of the most widely used types of data on the internet. Controlling …
Congestion control and traffic scheduling for collaborative crowdsourcing in SDN enabled mobile wireless networks
D Shen, W Yan, Y Peng, Y Fu… - … and mobile computing, 2018 - Wiley Online Library
Currently, a number of crowdsourcing‐based mobile applications have been implemented
in mobile networks and Internet of Things (IoT), targeted at real‐time services and …
in mobile networks and Internet of Things (IoT), targeted at real‐time services and …
Dimensional data KNN-based imputation
Abstract Data Warehouses (DWs) are core components of Business Intelligence (BI).
Missing data in DWs have a great impact on data analyses. Therefore, missing data need to …
Missing data in DWs have a great impact on data analyses. Therefore, missing data need to …
[PDF][PDF] A model for processing skyline queries in crowd-sourced databases
Nowadays, in most of the modern database applications, lots of critical queries and tasks
cannot be completely addressed by machine. Crowdsourcing database has become a new …
cannot be completely addressed by machine. Crowdsourcing database has become a new …