{"id":"W2125943921","doi":"10.1145/1401890.1401965","title":"Get another label? improving data quality and data mining using multiple, noisy labelers","year":2008,"lang":"en","type":"article","venue":"","topic":"Machine Learning and Data Classification","field":"Computer Science","cited_by":1114,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; National Science Foundation","keywords":"Computer science; Quality (philosophy); Sequence labeling; Set (abstract data type); Crowdsourcing; Artificial intelligence; Imperfect; Focus (optics); Machine learning; Outsourcing; Labeled data; Data quality; Data mining; Task (project management); Engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null}