DOI: 10.36347/sjet

Pages: 595-599

Outlier detection is a very important type of data mining, which is extensively used in application areas. The traditional cell-based outlier detection algorithm not only takes a large amount of time in processing massive data, but also uses lots of machine resources, which results in the imbalance of the machine load. This paper presents an distancebased outlier detection algorithm. These experiments show that this improved algorithm is able to effectively improve the efficiency of the outlier detection as well as the accuracy.