In this paper, we propose an unsupervised approach for facilitation of rule generation for labeling tickets created by event management. We first identify and ...
We first identify and remove noisy tickets with generic resolutions, and then use sparse classic canonical analysis. (CCA) for feature selection to enable an ...
Request PDF | On Apr 1, 2018, Wubai Zhou and others published Multi-view feature selection for labeling noisy ticket data | Find, read and cite all the ...
In this paper, we propose an unsupervised approach for facilitation of rule generation for labeling tickets created by event management. We first identify and ...
In this paper, we propose an unsupervised approach for facilitation of rule generation for labeling tickets created by event management. We first identify and ...
et al. 2018; CNSM/HiPNet/SR+SFC 2018. Multi-view feature selection for labeling noisy ticket data. Wubai Zhou; Xiaolong Zhu ... Data-driven cloud-based IT ...
Online IT ticket automation recommendation using hierarchical multi ... et al. 2018; Big Data 2018. Multi-view feature selection for labeling noisy ticket data.
... selection becomes most important, particularly in data sets with several variables and features. ... Multi-view feature selection for labeling noisy ticket data.
Apr 18, 2024 · We propose a trusted multi-view noise refining method to solve this problem. We first construct view-opinions using evidential deep neural networks.
Missing: selection ticket
Dec 1, 2016 · Extensive experiments on benchmark data sets demonstrate that the proposed method outperforms other multi-label feature selection methods.