B. Buckley
Machine learningSupport vector machineData miningLogistic regressionArtificial intelligencePrincipal component analysisChurn rateComputer scienceNaive Bayes classifierTelecommunicationsDecision treeClassifier (UML)
Publications 1
Nov 19, 2010 in ADMA (Advanced Data Mining and Applications)
#1T. Sato (UCD: University College Dublin)H-Index: 1
#2B. Q. Huang (UCD: University College Dublin)H-Index: 4
Last. B. BuckleyH-Index: 1
view all 5 authors...
Failure to identify potential churners affects significantly a company revenues and services that can provide. Imbalance distribution of instances between churners and non-churners and the size of customer dataset are the concerns when building a churn prediction model. This paper presents a local PCA classifier approach to avoid these problems by comparing eigenvalues of the best principal component. The experiments were carried out on a large real-world Telecommunication dataset and assessed o...
6 CitationsSource