Zobrazeno 1 - 10
of 34
pro vyhledávání: '"Wubai Zhou"'
Publikováno v:
IEEE Transactions on Services Computing. 12:199-213
The importance of mining time lags of hidden temporal dependencies from sequential data is highlighted in many domains including system management, stock market analysis, climate monitoring, and more. Mining time lags of temporal dependencies provide
Publikováno v:
World Wide Web. 22:1913-1933
Effectively capturing the status information and improving situational awareness is the most important task in disaster information management. Due to the rapid increase of online information, this task becomes very challenging. Existing information
Publikováno v:
IEEE Transactions on Network and Service Management. 15:530-543
A trouble ticket is an important information carrier in system maintenance, which records problem symptoms, the resolving process, and resolutions. A critical challenge for the ticket management system is how to quickly deal with trouble tickets and
Publikováno v:
Future Generation Computer Systems. 78:41-58
When a critical system exhibits an incident during its operation, a ticket is usually generated by the monitoring systems or users to describe its issue and should be fixed by system maintenance teams in an acceptable short period of time to avoid se
Publikováno v:
IEEE Transactions on Network and Service Management. 14:246-260
Maximal automation of routine IT maintenance procedures is an ultimate goal of IT service management. System monitoring, an effective and reliable means for IT problem detection, generates monitoring ticket. In light of the ticket description, the un
Autor:
Yimin Yang, Ning Xie, S. Sitharama Iyengar, Yexi Jiang, Tao Li, Chunqiu Zeng, Jainendra K. Navlakha, Hsin-Yu Ha, Shu-Ching Chen, Wubai Zhou, Wei Xue, Li Zheng, Yue Huang
Publikováno v:
ACM Computing Surveys. 50:1-45
Improving disaster management and recovery techniques is one of national priorities given the huge toll caused by man-made and nature calamities. Data-driven disaster management aims at applying advanced data collection and analysis technologies to a
Autor:
Zheng Liu, Xiaolong Zhu, Chunqiu Zeng, Qifeng Zhou, Wentao Wang, Wei Xue, Yue Huang, Tao Li, Bin Xia, Qing Wang, Wubai Zhou
Publikováno v:
Knowledge and Information Systems. 52:411-443
The advent of Big Data era drives data analysts from different domains to use data mining techniques for data analysis. However, performing data analysis in a specific domain is not trivial; it often requires complex task configuration, onerous integ
Publikováno v:
IEEE Transactions on Network and Service Management. 13:954-967
In recent years, IT service providers have rapidly achieved an automated service delivery model. Software monitoring systems are designed to actively collect and signal event occurrences and, when necessary, automatically generate incident tickets. R
Publikováno v:
Computer Methods and Programs in Biomedicine. 134:259-265
We investigate an immune-inspired semi-supervised learning algorithm to reduce the need for labeled data.Experimental results prove that our algorithm is a promising automatic diagnosis method for breast cancer.The proposed algorithm has clonal selec