Research of Imbalanced Data Classification in Data Mining
Journal Title: Scholars Journal of Physics, Mathematics and Statistics - Year 2016, Vol 3, Issue 3
Abstract
Classification is one of the most important research contents in data mining and traditional classification methods are relatively mature, when dealing with well-balanced data they can make good performances. But in real world the data is usually imbalanced, that is, most of the data are in majority class and little data are in minority class. Imbalanced data set cause the deduction of the precision of the minority class samples, when it is classified by traditional algorithm, which can tend to favor the more class samples. Making researches on imbalanced datasets are quite important. In order to help readers to have a clear idea of the currently proposed and future work data classification, in view of imbalanced data progress, this paper introduced three developed methods: data level, algorithmic level and developed methods that were the performance evaluation of imbalanced data classification. We are very glad to receive the valuable reference provided by the academics that interested in this field.
Authors and Affiliations
Xin Hua, ZhouShao Hua, Hu Jin Yan
Keywords
Related Articles
- EP ID EP385468
- DOI -
- Views 85
- Downloads 0
On Quasi -r-Normal Spaces
In this paper, we introduce the concept of quasi-r-normal spaces in topological spaces by using regular open sets in topological spaces and obtain some characterizations and preservation theorems for πgr-closed sets. Mat...
On Separation Properties and Spaces
The author introduces some open sets in bitopological spaces and studies some of their basic properties. Certain separation properties and obtained from standard separation by replacing open sets by –open sets in thei...
Efficiency Evaluation of the Two-Stage Units Using Two-Objective Linear Fractional Programming
Data envelopment analysis (DEA)is a method that evaluates the efficiency of decision making units by the linear programming problems. The decision making units have multiple input and outputs. Some of the decision making...
On the Existence of Solutions to BSDES under Sublinear Grown Condition
In this paper, we study one-dimensional BSDE’s whose coefficient gis sublinear growth in z. We obtain a general existence result and a comparison theorem when g is linear growth in y and sublinear growth in z. Some known...
Coincidence point theorems under F-contraction in Ultrametric Space
In this paper, we establish some results on coincidence points for a pair of single valued maps with a pair of multivalued maps of an Ultrametric space which satisfy F-contraction. Our theorems generalize and extents the...