A Framework for Generating the User’s Behavioral Consequences for Predicting Outcomes  
  Authors : K. Vasantha; K. Narayana


To retrieve the data from plenty of information and finding exactly what data to get mined has become progressively computerized. Alternatively selecting what data to get together requires human association or practice, generally delivered by field expert. This technique describe that for prediction of some behavioral outcomes, non-field experts can jointly formulate structures after which provide values. This paper gives new strategy to machine science demonstrating that non domain experts can collectively formulate features and provide values for all those features so they really are predictive of some behavioural outcome interest. This is accomplishing by web platform where crowd get connected to one another by answering and adjusting question that assist to predict behavioural outcome. Which result in dynamically growing online survey.


Published In : IJCAT Journal Volume 1, Issue 7

Date of Publication : 31 August 2014

Pages : 345 - 348

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Publication Link : A Framework for Generating the User’s Behavioral Consequences for Predicting Outcomes




K. Vasantha : Post-Graduate Student, Department of Computer Science and Engineering SIT, PUTTUR, India

K. Narayana : Head & Associate Professor, Department of computer Science and Engineering SIT, PUTTUR, India








Crowd sourcing

Human Behavior modeling



This paper provides A brand new strategy to social science modeling through which human behavioral outcome is generated by motivating the participants. In this particular paper participate is coming to the web site and answering towards the questions which he really wants to instead of wishes to be brings about hectic with the participant. So through the use of principle approach while using the different regression model question ordering may very well be made principally in order that the user couldn't face the questions that they don’t would like to answer. Also rather then while using the single model the significant with the system could possibly be enhance by making use of the n variety of models. This can be the potentially an alternative way to accomplish science. This new strategy to science could result the exponential growth which can be found tin another online collaborative communities.










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