Title :
A Method of Field Test Reliability Analysis based on Data Mining and Two-Stage Sampling
Author :
Juan-Juan, Sun ; Jian-Wei, Wu ; Zhen, Huang
Author_Institution :
Beijing Univ. of Posts & Telecommun., Beijing
Abstract :
In order to give the reliability of field test sample data, data mining and two-stage sampling are introduced in this paper. BIRCH algorithm and K-means of data mining are used to cluster the bins´ type of digital map, then two stage-sampling is taken into account to estimate the reliability of field test data instead of simple random sampling. From two samples from mobile communications network, two-stage sampling could estimate the reliability of field test sample data effectively.
Keywords :
data mining; mobile communication; reliability; BIRCH algorithm; data mining; digital map; field test reliability analysis; mobile communications network; two-stage sampling; Base stations; Clustering algorithms; Data analysis; Data mining; Land mobile radio; Mobile communication; Performance evaluation; Sampling methods; Telecommunication network reliability; Testing;
Conference_Titel :
Personal, Indoor and Mobile Radio Communications, 2007. PIMRC 2007. IEEE 18th International Symposium on
Conference_Location :
Athens
Print_ISBN :
978-1-4244-1144-3
Electronic_ISBN :
978-1-4244-1144-3
DOI :
10.1109/PIMRC.2007.4394802
