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The imbalance data problem in classification is a significant research area and has attracted a lot attention in recent years. Rebalancing class distribution techniques such as over-sampling or under-sampling are the most common approaches to deal with this problem. This paper presents a new method so called Diversity and Separable Metrics in Over-Sampling Technique (DSMOTE) to handle the imbalanced...
Without knowing what is happening in an enterprise a manager is hardly able to make an informed rational decision. Fortunately, the current state of an organization has been concealed inside the enterprise operational data. If this data is purposefully processed according to the required decision variables, it can be mapped into a knowledge map. A knowledge map may demonstrate what is happening, how...
In a research organization, there are many decision making issues (such as employing a new member, finding some one who is expert in a filed and can take a role, defining areas of excellence and so on) that can be facilitated if the organization has a clear perception of what its human knowledge experts really know. Such knowledge can be clearly transferred to the decision makers of an organization...
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