Crowdsourcing: A New Approach Of Non-Domain Experts To Provide Predictive Behavioral Results
Year: 2015
Type: article
Abstract: Bringing about models from great data sets and influential which subsets of data to mine is becoming more and more automated. Though preferring what data to gather in the first place necessitate human intuition or experience typically complete by a domain expert. In paper we explain a new approach to machine science which makes obvious for the first time those non-domain experts can communally put together features and present values for those features such that they are predictive of some behavioral outcome of interest. This was completed by building a web platform in which human groups interrelate to both respond to questions likely to help predict a behavioral outcome and pose new questions to their peers. These consequences are in a vibrant growing online survey the result of this supportive behavior also leads to replica that can forecast user’s outcomes based on their answer to the user-generated survey questions.
Author: Yalamanchili Pavan
Language: English
Subfield: Computer Science Applications
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W2204640832