• T SUMANTH

Querying uncertain data has become a prominent application. An uncertain data with the help of crowdsourcing for quickly converting the real order of same results. Crowd sourcing which consisting the posting tasks to the human and improving the confidence of the human data value by their human judgement. Crowdsourcing has become an active area of research in data management communites. The main aim of the minimizing the crowd interaction is necessary to get the exact result set. In existing system some important data management and human tasks cannot be completely initiated by automated process. These human tasks such as Entity resolution and image recognition can be overcome through the use of human ability. The main drawback of crowd sourcing is effective techniques are used to achieve high quality. In proposed system uncertainity resolutions which is problem of identifying the minimal set of queries to be submitted to a crowdsource and it reduce the uncertainity in data management. To improve crowdsourced data management and focus on balancing quality.

User/Machine, Systems, Query Processing

"Crowdsourcing Using Uncertainity Resolution for Query Processing", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 9, page no.529-532, September-2018, Available :http://www.jetir.org/papers/JETIR1809722.pdf

"Crowdsourcing Using Uncertainity Resolution for Query Processing", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 9, page no. pp529-532, September-2018, Available at : http://www.jetir.org/papers/JETIR1809722.pdf