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    Strategies to Control Quality in Crowdmining

    Abstract: Normal 0 false false false EN-US X-NONE X-NONE MicrosoftInternetExplorer4 Crowd sourcing is emerging as an effective method for data gathering and analysis, which introduces a new paradigm of data mining process. Crowd workers perform small chunks of larger tasks in return for a reward, which can be monetary, material, psychological and so on. One of the biggest challenges of crowd mining is controlling the quality of the answers collected from …

    Published in Current Trends in Information Technology · Vol. 6, Issue 1, 2016 · pp. 1–5 Read article

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