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This paper is the case study on scientific data cleaning, it proposes some new ideas or applies some hot technologies for scientific data cleaning. There are three challenges of scientific data cleaning tool: domain knowledge representation and usage, customized cleaning flow and building dynamically. We adopt knowledge based rule modeling, workflow based flow modeling and pluggable components based...
AdaBoost algorithm is proved to be a very efficient classification method for the balanced dataset with all classes having similar proportions. However, in real application, it is quite common to have unbalanced dataset with a certain class of interest having very small size. It will be problematic since the algorithm might predict all the cases into majority classes without loss of overall accuracy...
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