CrowdTransfaring Mediators of Behavioral Results

B. Hyndavathi, V. Lakshmichaitanya


Generating models from large data sets—and deter-mining which subsets of data to mine—is becoming increasingly automated. However choosing what data to collect in the first place requires human intuition or experience, usually supplied by a domain expert. This paper describes a new approach to machine science which demonstrates for the first time that non-domain experts can collectively formulate features, and provide values for those features such that they are predictive of some behavioral outcome of interest.


Crowdtranfaring, machine science, surveys, socialmedia, human behavior modeling

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Copyright (c) 2014 B. Hyndavathi, V. Lakshmichaitanya

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