Research field (3):
Mathematical informatics
, Database science
, Software
Research keywords (9):
地理情報システム
, 自然言語処理
, 情報検索
, データベース工学
, Information Retrieval
, Web Application
, Engineering
, Software
, Database
Research theme for competitive and other funds (12):
2018 - 2021 Building a knowledge base based on a large scale similar network about agricultural practices data
2017 - 2020 The study of network analysis for large spatial networks
2017 - 2020 Speeding up the clustering methods with summable lower bounds in contractive mappings
2017 - 2020 Improvement of Mobility Reliability Considering Road Blockage using Integrated Big Data
2015 - 2018 Establishment of a Prediction Model by Studying Ramblers' Behavioral History
2015 - 2018 Detection of Annotation Words and Construction of Structured Infomations based on Cohesiveness
2014 - 2017 Speeding up the similarity search by generalized pivots
2013 - 2016 A dynamic trust model between users in social networks
2011 - 2013 Speeding up the similarity search by contractive embedding methods
2010 - 2012 Empirical study for the effects of network aspects on the performance of family business.
2010 - 2012 Network structure estimation based on egocentric information
2008 - 2011 Developing a Learning Support System for Remote Body Movement Instruction : An Application in Physical Assessment Skill Training
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Papers (43):
Kazuo Aoyama, Kazumi Saito, Tetsuo Ikeda. CPI-model-based analysis of sparse k-means clustering algorithms. International Journal of Data Science and Analytics. 2021. 12. 3. 229-248
Takayasu Fushimi, Kazumi Saito, Tetsuo Ikeda, Kazuhiro Kazama. Community Extraction Method of Road Networks Based on Betweenness Contribution. Transactions of the Japanese Society for Artificial Intelligence. 2020. 35. 1. F-wd12_1
Takayasu Fushimi, Kazumi Saito, Tetsuo Ikeda, Kazuhiro Kazama. Estimating node connectedness in spatial network under stochastic link disconnection based on efficient sampling. Applied Network Science. 2019. 4. 1. 66-24
Takayasu Fushimi, Kazumi Saito, Tetsuo Ikeda, Kazuhiro Kazama. A New Group Centrality Measure for Maximizing the Connectedness of Network Under Uncertain Connectivity. Proc. of the 7th International Conference on Complex Networks and Their Applications(ComplexNetwork2018). 2018. 3-14