Zobrazeno 1 - 10
of 35
pro vyhledávání: '"Chunqiu Zeng"'
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
Autor:
TAO LI1 taoli@cs.fiu.edu, CHUNQIU ZENG2 czeng001@cs.fiu.edu, YEXI JIANG2 yjian004@cs.fiu.edu, WUBAI ZHOU2 wzhou005@cs.fiu.edu, LIANG TANG2 ltang002@cs.fiu.edu, ZHENG LIU3 zliu@njupt.edu.cn, YUE HUANG3 huangyue@njupt.edu.cn
Publikováno v:
ACM Computing Surveys. May2018, Vol. 50 Issue 3, p1-43. 43p.
Autor:
TAO LI1 taoli@cs.fiu.edu, CHUNQIU ZENG2 czeng001@cs.fiu.edu, YEXI JIANG2 yjian004@cs.fiu.edu, WUBAI ZHOU2 wzhou005@cs.fiu.edu, LIANG TANG2 ltang002@cs.fiu.edu, ZHENG LIU2 zliu@njupt.edu.cn, YUE HUANG3 huangyue@njupt.edu.cn
Publikováno v:
ACM Computing Surveys. Oct2017, Vol. 50 Issue 3, p1-43. 43p.
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:
Knowledge-Based Systems. 94:23-32
Pattern discovery is one of the most fundamental problems in data mining. Various patterns with their discovering algorithms are proposed in different applications and domains. There is still a great demand for defining new meaningful patterns with n
Publikováno v:
IEEE BigData
An efficient delivery of IT services for increasingly complex IT environments demands an intelligent automated solution for resolving existing and potential issues. An automation recommender system, promptly suggesting the most proper scripted resolu
Publikováno v:
Web and Big Data ISBN: 9783319968926
APWeb/WAIM (2)
APWeb/WAIM (2)
As one of the key features of temporal dependency, time lag plays an important role in analyzing sequential data and predicting the developing trend. Huge number of temporal mining approaches have been successfully applied in many applications, like
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9609b2451bced63a9f1a57319f8a2f17
https://doi.org/10.1007/978-3-319-96893-3_10
https://doi.org/10.1007/978-3-319-96893-3_10