Rare events and imbalanced datasets: an overview. (10th October 2011)

• Record Type: Journal Article
• Authors: Maalouf, Maher; Trafalis, Theodore B.
• Is Part Of: International journal of data mining, modelling and management. Volume 3:Number 4(2011)
• Page Start: 375
• Page End: 388
• Publication Date: 2011-10-10
• Subjects: data mining -- classification -- rare events -- imbalanced data; Data mining -- Periodicals; Information science -- Periodicals; Databases -- Periodicals; 005.7
• Languages: English
• ISSNs: 1759-1163

Abstract

Accurate prediction is important in data mining and data classification. Rare events data, imbalanced or skewed datasets are very important in data mining and classification. However, These types of data are difficult to predict and to explain as has been demonstrated in the literature. The problems arise from various sources. This paper surveys the latest research on such data in the hope of adding further contribution to this important field of data mining.