کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
382292 660754 2014 8 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Brief survey of crowdsourcing for data mining
ترجمه فارسی عنوان
نظرسنجی مختصری برای جمع آوری داده ها برای داده کاوی
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
چکیده انگلیسی


• This paper surveys state-of-art data mining techniques with crowdsourcing.
• This paper surveys the framework and steps of crowdsourcing for data mining.
• This paper proposes challenges of crowdsourcing for data mining.

Crowdsourcing allows large-scale and flexible invocation of human input for data gathering and analysis, which introduces a new paradigm of data mining process. Traditional data mining methods often require the experts in analytic domains to annotate the data. However, it is expensive and usually takes a long time. Crowdsourcing enables the use of heterogeneous background knowledge from volunteers and distributes the annotation process to small portions of efforts from different contributions. This paper reviews the state-of-the-arts on the crowdsourcing for data mining in recent years. We first review the challenges and opportunities of data mining tasks using crowdsourcing, and summarize the framework of them. Then we highlight several exemplar works in each component of the framework, including question designing, data mining and quality control. Finally, we conclude the limitation of crowdsourcing for data mining and suggest related areas for future research.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Expert Systems with Applications - Volume 41, Issue 17, 1 December 2014, Pages 7987–7994
نویسندگان
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