Manuscript Number : IJSRST18414
Crowdsourcing and Its Applications on Data Mining : A Brief Survey
Authors(2) :-K. Karthika, R. Durga Devi 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 exemplars 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
K. Karthika Clustering, Crowdsourcing, Data mining, Sampling, Quality control Publication Details
Published in : Volume 4 | Issue 2 | January-February 2018 Article Preview
Department of Computer Applications, Saradha Gangadharan College, Puduchery, Tamil Nadu, India
R. Durga Devi
Department of Computer Applications, Saradha Gangadharan College, Puduchery, Tamil Nadu, India
Date of Publication : 2018-02-28
License: This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 24-29
Manuscript Number : IJSRST18414
Publisher : Technoscience Academy
Journal URL : https://ijsrst.com/IJSRST18414
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