(Last updated : 2022-12-09 16:58:36)
  Saito Kazumi
   Kanagawa University  Faculty of Science Department of Information Sciences
   Kanagawa University Graduate School  Graduate School of Science Course of Science (Field of Information Sciences)
■ Present specialized field
Intelligent informatics, Web informatics and service informatics 
■ Book and Papers
1. Papers Efficient computation of target-oriented link criticalness centrality in uncertain graphs  (Collaboration)  2021/10
2. Papers Multiple Perspective Centrality Measures Based on Facility Location Problem Under Inter-Group Competitive Environment  (Collaboration)  2020/10
3. Papers Resampling-based Predictive Simulation Framework of Stochastic Diffusion Model for Identifying Top-K Influential Nodes  (Collaboration)  2020/09
4. Papers Critical Node Identification based on Articulation Point Detection for Uncertain Network," International Journal of Networking and Computing  (Collaboration)  2019/08
5. Papers Estimating Node Connectedness in Spatial Network under Stochastic Link Disconnection Based on Efficient Sampling  (Collaboration)  2019/08
All display(9)
■ Academic conference presentation
1. 2020 Efficient Computing of PageRank Scores on Exact Expected Transition Matrix of Large Uncertain Graph (Proc. of the 2020 IEEE International Conference on Big Data (BigData2020))
2. 2020 Maximizing Network Coverage Under the Presence of Time Constraint by Injecting Most Effective k-Links (Proc. of the 23th Internatioanal Conference on Discovery Science(DS2020))
3. 2020 Opening and Closing Dynamics of Competing Shop Groups over Spatial Networks (Proc. of the 2020 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM2020))
4. 2020 Spatio-Temporal Clustering of Earthquakes Based on Average Magnitudes (Proc. of the 9th International Conference on Complex Networks and Their Applications(ComplexNetwork2020))
5. 2019 Construction of Histogram with Variable Bin-width based on Change Point Detection (Proc. of the 22th Internatioanal Conference on Discovery Science(DS2019))
All display(14)
■ Department laboratory expense researcher number