Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Guo-en Xia"'
Publikováno v:
DEStech Transactions on Computer Science and Engineering.
In this paper, we propose a new data hiding scheme based on prediction difference. The difference between prediction value and the real value in the corresponding position of the cover image is calculated, and the secret bits are embedded into the di
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::35413dc5b3dfc8166630e435c7a13ddf
https://doi.org/10.12783/dtcse/cst2017/12525
https://doi.org/10.12783/dtcse/cst2017/12525
Publikováno v:
DEStech Transactions on Computer Science and Engineering.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::814ede0384409ee0dab346ba174dc106
https://doi.org/10.12783/dtcse/cst2017/12523
https://doi.org/10.12783/dtcse/cst2017/12523
Publikováno v:
ICSAI
Customer churn leads to the losses of enterprise. To deal with the customer churn problem of the customer relationship management, this paper set up the model based on the characteristics of amount and imbalance data and verify on the real data of te
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0c93fa80d83c655d6871859db5364c2d
https://doi.org/10.1109/icsai.2016.7811009
https://doi.org/10.1109/icsai.2016.7811009
Publikováno v:
ICSAI
This research is developed on the base of statistical learning theory-based predictive method which rarely considers multivariate time series in data sample and the sameness of evaluation on predictive result parameters. It proposes a serial grey neu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::39eb2449ec4011956c47627e2f1a5923
https://doi.org/10.1109/icsai.2016.7810981
https://doi.org/10.1109/icsai.2016.7810981
Autor:
Wei-dong Jin, Guo-en Xia
Publikováno v:
Systems Engineering - Theory & Practice. 28:71-77
To improve the prediction abilities of machine learning methods, a support vector machine (SVM) on structural risk minimization was applied to customer churn prediction. Researching customer churn prediction cases both in home and foreign carries, th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5ee7b0ef2bc05c16dc71a70173bbb31e
https://doi.org/10.1016/s1874-8651(09)60003-x
https://doi.org/10.1016/s1874-8651(09)60003-x
Publikováno v:
2015 6th IEEE International Conference on Software Engineering and Service Science (ICSESS).
Process algebra have been effectively exploited for modeling and verifying functional aspects of services composition, but non-functional aspects have not been given enough care due to process algebra lacking of capability of modeling them. In this p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d6ff20d4dbc83bc5332986f5e0e7991d
https://doi.org/10.1109/icsess.2015.7339062
https://doi.org/10.1109/icsess.2015.7339062
Autor:
Guo-en XIA
Publikováno v:
Journal of Computer Applications. 28:149-151
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::05632f0c1058d4f3ab3dd39a88f523ae
https://doi.org/10.3724/sp.j.1087.2008.00155
https://doi.org/10.3724/sp.j.1087.2008.00155
Publikováno v:
2011 IEEE International Conference on Computer Science and Automation Engineering.
Class imbalance is one of the main obstacles in data mining. AUC is one of the main criterions to judge the performance of classifiers, which have been applied in class imbalanced datasets. So, optimizing AUC method has been realized by using gradien
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::94dc80981bb98dc2e2d3f013c1c9e225
https://doi.org/10.1109/csae.2011.5953307
https://doi.org/10.1109/csae.2011.5953307
Autor:
Yi Li, Guo-en Xia
Publikováno v:
2010 International Conference on E-Product E-Service and E-Entertainment.
In this paper, an explainable prediction model is established to select the optimum features and parameters, then the selected optimum parameters are applied to predicting potential customer churning in one foreign telecom company, discovering that t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::74b70cb940fc45e2be689df92ebac58c
https://doi.org/10.1109/iceee.2010.5660501
https://doi.org/10.1109/iceee.2010.5660501
Autor:
Guo-en Xia, Pei-ji Shao
Publikováno v:
IITSI
Nonlinear factor analysis method was studied by Mercer kernel function which can map the data in the original space to a high-dimensional feature space, and a comparison with the related method kernel principle component analysis (KPCA) was made. It
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9f08365293d45e477a4c252fdff77c57
https://doi.org/10.1109/iitsi.2009.55
https://doi.org/10.1109/iitsi.2009.55