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Real world data mining applications must address the issue of learning from imbalanced data sets. The problem occurs when the number of instances in one class greatly outnumbers the number of instances in the other class. Such data sets often cause a default clas-sifier to be built due to skewed vector spaces or lack of information. Common approaches for(More)
Recommendation systems now days are the heart of success stories for business and optimization of resources. The accurate prediction of business decision accurately depends on heuristic algorithms used for analytics. Classical algorithms used for the data mining find their utility to perform with the new challenges considering key factors for improvement.(More)
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