2 citations · 8 across the 8 of their papers we have counts for
10 papers
Path association rule mining
Yuya Sasaki
Graph association rule mining is a data mining technique used for discovering regularities in graph data. In this study, we propose a novel concept, {\it path association rule mini…
Similarity Search on Computational Notebooks
Misato Horiuchi, Yuya Sasaki, Chuan Xiao +1
Computational notebook software such as Jupyter Notebook is popular for data science tasks. Numerous computational notebooks are available on the Web and reusable; however, searchi…
FedMe: Federated Learning via Model Exchange
Koji Matsuda, Yuya Sasaki, Chuan Xiao +1
Federated learning is a distributed machine learning method in which a single server and multiple clients collaboratively build machine learning models without sharing datasets on…
AIREX: Neural Network-based Approach for Air Quality Inference in Unmonitored Cities
Yuya Sasaki, Kei Harada, Shohei Yamasaki +1
Urban air pollution is a major environmental problem affecting human health and quality of life. Monitoring stations have been established to continuously obtain air quality inform…
Cost-constrained Minimal Steiner Tree Enumeration by Binary Decision Diagram
Yuya Sasaki
The Steiner tree enumeration problem is a well known problem that asks for enumerating Steiner trees. Numerous theoretical works proposed algorithms for the problem and analyzed th…
Smart City Data Analysis via Visualization of Correlated Attribute Patterns
Yuya Sasaki, Keizo Hori, Daiki Nishihara +9
Urban conditions are monitored by a wide variety of sensors that measure several attributes, such as temperature and traffic volume. The correlations of sensors help to analyze and…