id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_qrl5mxz37fertdmqjhcuavftvy	Guo Xintong	Brief survey of crowdsourcing for data mining	2014	8	.pdf	application/pdf	8095	834	57	Crowdsourcing allows large-scale and flexible invocation of human input for data gathering and analysis, challenges and opportunities of data mining tasks using crowdsourcing, and summarize the framework question designing, data mining and quality control. People can make assumptions in order to compensate the loss of information by crowdsourcing the mining task. Crowdsourcing is an emerging and powerful information procurement paradigm that has appeared under many names, including social computing, collective intelligence and human of crowdsourcing for data mining, which includes question Data mining tasks can be divided into the multiple kinds: classification, clustering, semi-supervised learning, and In a nutshell, the quality of crowdsourced data has great influence on the mining result, so researchers have to pay careful attention to it. crowdsourcing is not a panacea for solving tasks in all data mining cannot use crowdsourcing to solve data mining task. people, then using crowdsourcing to do data mining task may data mining task in crowdsourcing.	./cache/work_qrl5mxz37fertdmqjhcuavftvy.pdf	./txt/work_qrl5mxz37fertdmqjhcuavftvy.txt