Outlier Detection in RFID Datasets in Supply Chain Process: A Review

Provided by: International Journal of Computer Applications
Topic: Mobility
Format: PDF
Outlier detection has been a very important concept in the realm of data analysis. Most real-world databases include a certain amount of exceptional values, generally termed as "Outliers". The finding of outliers is important for improving the quality of original data and for reducing the impact of outlying values in the process of knowledge discovery in databases. Outlier detection has been researched within various application domains and knowledge disciplines. Supply Chain Process is one of the popular and important domains. The implementation of RFID leads to improved visibility in supply chains. However, as a result of the increased collection of data and data granularity, new data management challenges are faced by supply chain participants new techniques for outlier detection are experimented.

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