Ordering Policy Estimation for High Utility Item-Sets Considering Negative Item Values in Large Databases

Reshu Agarwal
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Reshu Agarwal: Amity Institute of Information Technology, Amity University, Noida, India

International Journal of Decision Support System Technology (IJDSST), 2022, vol. 14, issue 1, 1-16

Abstract: Utility mining with negative item values has recently received interest in the data mining field due to its practical considerations. Previously, the values of utility item-sets have been taken into consideration as positive. However, in real-world applications, an item-set may be related to negative item values. This paper presents a method for redesigning the ordering policy by including high utility item-sets with negative items. Initially, utility mining algorithm is used to find high utility item-sets. Then, ordering policy is estimated for high utility items considering defective and non-defective items. A numerical example is illustrated to validate the results.

Date: 2022
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