Titlebook: Intelligent Data Engineering and Automated Learning – IDEAL 2017; 18th International C Hujun Yin,Yang Gao,Minling Zhang Conference proceedi

彈藥

Dynamic Community Detection Algorithm Based on Automatic Parameter Adjustment,troduced. The proposed algorithm can choose to satisfy or ignore the optional parameter by judging whether it is reasonable. Our algorithm also eliminates the existing fragments. A delicate pruning is designed for fast determination. Experiments show that our mAttractor outperforms Attractor by 2%–2

cornucopia

羽毛長(zhǎng)成

Lecture Notes in Computer Sciencehttp://image.papertrans.cn/i/image/469587.jpg

Panacea

graphy

不可思議

https://doi.org/10.1007/978-3-319-68935-7Applied computing; Artificial intelligence; Bioinformatics; Computing methodologies; Data management sys

Mhc-Molecule

INERT

Dynamic Community Detection Algorithm Based on Automatic Parameter Adjustment, scalable algorithms are drawing more attention. Among those methods, the algorithm named Attractor is quite outstanding both in terms of accuracy and scalability. However, it is highly dependent on the parameter, which is abstract for users. The improper parameter value can bring about some problem

熱心助人

infringe