The study and survey of crowd computing towards solution of future prediction model
Abstract
Computers provide high degree of accuracy and performance to solve many complex problems efficiently. The major difference between human being and computers are intelligence. Computer have the artificial intelligence, they are totally dependent upon the algorithm and programming code/logic. But human has the emotion and decision making capabilities. Crowd sourcing is a bridge which connects human perceptions with machine learning. Crowd sourcing is the most popular tool for engaging people in journalism, crowd funding, urban planning, democratic process and other social welfare development activities. It can collect variety of innovative ideas as well as knowledge from distributed heterogeneous users to solve complex scientific problems and non algorithmic real world problem. The main aim of this paper is to blend machine learning technology with crowd sourcing to solve a problem.
Keywords
Crowd computing, Future prediction model, GWAP, crowd sourcing, non-algorithmic problem
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PDFCopyright (c) 2014 Ratnadeep Dey, Mousumi Chakraborty
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