2 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.DB2023
Fast Algorithm for Embedded Order Dependency Validation (Extended Version)
Alejandro Ramos, Takuya Uemura, Daichi Amagata +2
Order Dependencies (ODs) have many applications, such as query optimization, data integration, and data cleaning. Although many works addressed the problem of discovering OD (and i…
cs.DB2022
Learned k-NN Distance Estimation
Daichi Amagata, Yusuke Arai, Sumio Fujita +1
Big data mining is well known to be an important task for data science, because it can provide useful observations and new knowledge hidden in given large datasets. Proximity-based…
cs.DB2022★ 2 cited
Fast Density-Peaks Clustering: Multicore-based Parallelization Approach
Daichi Amagata, Takahiro Hara
Clustering multi-dimensional points is a fundamental task in many fields, and density-based clustering supports many applications as it can discover clusters of arbitrary shapes. T…