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- W2773109792 abstract "Partial derivatives are used to describe the trend of a dependent categorical variable. This is used to extract quality relations from categorical data through the definition of a Probabilistic Discrete Qualitative Partial Derivative (PDQ PD). This has been covered in the Qube algorithm. However, on analysis of the current method, it is found that a large amount of the time is taken in the attribute selection phase. The objective of this paper is to improve the efficiency of this algorithm in particular by decreasing the time taken for attribute selection. In this paper we have modified the Qube algorithm, the modified algorithm is able to reduce the time taken by searching the data set for rows with the same variable values. The ordering is then replicated in each case. This has been found to improve the efficiency of the algorithm especially in data sets where there are multiple items with the same values." @default.
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- W2773109792 date "2017-09-01" @default.
- W2773109792 modified "2023-09-27" @default.
- W2773109792 title "Extracting quality relations from categorical data using modified qube algorithm" @default.
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- W2773109792 doi "https://doi.org/10.1109/icacci.2017.8125915" @default.
- W2773109792 hasPublicationYear "2017" @default.
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