Title :
Partition of Discrete Numerical Interval Based on Local Outlier Coefficient Wave Method
Author :
Zhang, Qiuyu ; Sun, Lei ; Zhen, Luning ; Jin, Yanfeng
Author_Institution :
Coll. of Comput. & Commun., Lanzhou Univ. of Technol., Lanzhou
Abstract :
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.
Keywords :
data mining; data aggregation; data mining; data sparsity; discrete numerical interval; local outlier coefficient wave method; Computer networks; Data analysis; Data mining; Educational institutions; Kernel; Lab-on-a-chip; Nearest neighbor searches; Postal services; Sun;
Conference_Titel :
Bio-Inspired Computing: Theories and Applications, 2007. BIC-TA 2007. Second International Conference on
Conference_Location :
Zhengzhou
Print_ISBN :
978-1-4244-4105-1
Electronic_ISBN :
978-1-4244-4106-8
DOI :
10.1109/BICTA.2007.4806439
