Partition of Discrete Numerical Interval Based on Local Outlier Coefficient Wave Method

被引：0
|
作者：
Zhang, Qiuyu [1 ]
Sun, Lei [1 ]
Zhen, Luning [1 ]
Jin, Yanfeng [2 ]
机构：
[1] Lanzhou Univ Technol, Coll Comp & Commun, Lanzhou 730050, Peoples R China
[2] China Post Grp, Direct Mail Res & Consult Ctr, Shijiazhuang 050021, Peoples R China
来源：
2007 SECOND INTERNATIONAL CONFERENCE ON BIO-INSPIRED COMPUTING: THEORIES AND APPLICATIONS | 2007年
关键词：
D O I：
10.1109/BICTA.2007.4806439
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The partition of discrete numerical interval is the foundation of discrete numerical data mining, and its research is significant in application. A new method for the partition of discrete numerical interval is proposed here. In the method the original samples are preprocessed, and then the local outlier coefficient of each data calculated. Eventually, the discrete numerical interval is partitioned by local outlier coefficient wave (LOCW), which keeps original distribution of data. The partitioned intervals have advantages of data aggregation in same interval and data sparsity between different intervals. The experiments demonstrate the validity of the proposed method.
引用
收藏
页码：151 / +
页数：2
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