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Solving Imbalanced Data Problem with a New Approach

T. Deepthi, M.A. Jabbar, A. Chandrasekhar Sharma


In today’s real world domains, data is increasing at a rapid rate and growing exponentially. Domains like security, Internet, Banking, marketing, finance and others domains had continuous expansion of data. It is very difficult to understand and analyze this raw data.In order to understand this raw data we need some tools ,techniques and methodologies so that we can make decision making process easily. There are many knowledge discovery techniques available but the problem of imbalanced data domains is a great challenge in every academy and industry. This imbalanced data problem deals how various algorithms can be applied on imbalanced data and considering their performance levels.


Assessment Metrics, Classification, Imbalanced Data, Synthetic Sampling Methods, Support Vector Machines

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