1 |
R. B. Xu, G. H. Bao, P. Q. Yang, X. M. Wang, Y. Xie, "Staff collective optimization strategy based on maximal dependency and minimal redundancy," J. Comput. Integ. M, vol.23, no.5, pp.1014-1019, Oct. 2017, doi: 10.13196/j.cims.2017.05.012.
DOI
|
2 |
M. Kargar, A. An, "Discovering top teams of experts with/without a leader in social networks," in Pro.20th ACM Conf. (IKM), October24-28, 2011, doi: https://doi.org/10.1145/2063576.2063718.
DOI
|
3 |
S. B. Needleman, C. D. Wunsch," A general method applicable to the search for similarities in the amino acid sequence of two proteins, "J Mol Biol, vol.48, no.3, pp.443- 453, Dec.1970, doi: http://dx.doi.org/10.1016/0022-2836(70)90057-4.
DOI
|
4 |
J. Zhang, P. Cao, F. Shi, Y. Niu, Y. Wu, X. Wang, "Analysis and modeling of football team's collaboration mode and performance evaluation using network science and bp neural network," Math. Probl. Eng, vol.2020, Art no.7397169, PP.1-13, July.2020, doi: http://dx.doi.org/10.1155/2020/7397169
DOI
|
5 |
P. F. Jiao, F. Cai, Y. D. Feng, W. J. Wang, "Link prediction based on matrix factorization by fusion of multi-class organizations of the network," Sci. Rep., vol.7, no.8397, pp.596- 609, Aug.2017, doi: http://dx.doi.org/10.1038/s41598-017-090 81-9.
DOI
|
6 |
X. Liu, W. J. Wang, D. He, P. F. Jiao, D. Jin, C. V. Cannistraci, "Semi-supervised community detection based on non-negative matrix factorization with node popularity," Inform Science, vol.381, pp.304-321, Mar.2017, doi: http://dx.doi.org/10.1016/j.ins.2016.11.028.
DOI
|
7 |
D. Liu, L. Xiao, H. Y. Bai, "Semi-Supervised Community Detection Based on Discrete Potential Theory," PHYSICA.A, vol.416, pp.173-182, Dec.2014, doi: http://dx. doi.org/10.1016/j.physa.2014.08.051.
DOI
|
8 |
Y. B. Liu, J. M. Wang, Y. Yang, J. G. Sun, "A semi-automatic approach for workflow staff assignment," Comput Ind, vol. 59, no.5, pp.463-476, May.2008, doi: http://dx.doi.org/10.1016/j.compind.2007.12.002.
DOI
|
9 |
R. B. Xu, X. Liu, Y. Xie, D. Yuan, Y. Yang, "A Gaussian fields based mining method for semi-automating staff assignment in workflow application," in proc.2014 Conference.(SSP), May.26, 2014, doi: https://doi.org/10.1145/2600 821.2600843.
|
10 |
Meddah I, Khaled B, "Discovering patterns using process mining," J. Rou. S. Dat. A, vol.3, no.4, pp.21-31, Dec.2016, doi: https://doi.org/10.4018/IJRS DA.2016100102.
|
11 |
D. J. Yu, J. J. Wang, C. F. Liu, "Optimal Staff Assignment in Workflows Based on Collaboration Patterns," J Softw, vol.2 9, no.11, pp.563-576, Dec.2018, doi: http://dx.doi.org/10.13328/j.cnki.jos.005483.
DOI
|
12 |
T. Lappas, K. Liu, E. Terzi, "Finding a team of experts in social networks," in Proc.15th ACM SIG KDD Conf. (KDD M), Jan1-3, 2009.
|
13 |
L. T. Ly, S. Rinderle, P. Dadam, M. Reichert, "Mining staff assignment rules from event-based data," presented at the 2005 Business Process Management Workshops, Berlin, Springer-Verlag, 2005, doi: https://doi.org/10.1007/11678564_16.
DOI
|
14 |
M. Kargar, M. Zihayat, A. An, "Affordable and collaborative team formation in an expert network", USA: Technical Report CSE-2013, Jan.24, 2013.
|