基于 LFOA-HSRVM 的 IPTV 用户报障预测方法.

Aiming at the problems of numerous complaint factors and relatively poor fault samples of Internet protocol TV users, this paper proposed the LFOA-HSRVM algorithm as a prediction method for IPTV user's complaint combined with the outstanding sparsity of relevance vector machine . The method regarded fault prediction of IPTV user as a binary-classification problem with imbalanced data sets. The algorithm was based on the nuclear parameter optimization of RVM and hybrid sampling technology to overcome the problem that the decision boundary of the traditional RVM algorithm was biased to the minority class wh en dealing with imbalanced data sets. Compared with other algorithms, the experimental results show that the algorithm ' s performance of few classification and overall classification are improved greatly, and the effect of prediction is better. [ABSTRACT FROM AUTHOR]