Masafumi Oyamada
Masafumi Oyamada
Senior Principal Researcher, NEC Corporation
Geverifieerd e-mailadres voor nec.com - Homepage
Geciteerd door
Geciteerd door
Efficient joinable table discovery in data lakes: A high-dimensional similarity-based approach
Y Dong, K Takeoka, C Xiao, M Oyamada
2021 IEEE 37th International Conference on Data Engineering (ICDE), 456-467, 2021
Meimei: An efficient probabilistic approach for semantically annotating tables
K Takeoka, M Oyamada, S Nakadai, T Okadome
Proceedings of the AAAI Conference on Artificial Intelligence (AAAI) 33 (01 …, 2019
Data stream processing with concurrency control
M Oyamada, H Kawashima, H Kitagawa
ACM SIGAPP Applied Computing Review 13 (2), 54-65, 2013
Relational Mixture of Experts: Explainable Demographics Prediction with Behavioral Data
M Oyamada, S Nakadai
IEEE International Conference on Data Mining (ICDM), 357-366, 2017
Low-resource taxonomy enrichment with pretrained language models
K Takeoka, K Akimoto, M Oyamada
Proceedings of the 2021 Conference on Empirical Methods in Natural Language …, 2021
Extracting feature engineering knowledge from data science notebooks
M Oyamada
2019 IEEE International Conference on Big Data (Big Data), 6172-6173, 2019
Continuous top-k spatial–keyword search on dynamic objects
Y Dong, C Xiao, H Chen, JX Yu, K Takeoka, M Oyamada, H Kitagawa
The VLDB Journal 30 (2), 141-161, 2021
Learning with unsure responses
K Takeoka, Y Dong, M Oyamada
Proceedings of the AAAI Conference on Artificial Intelligence (AAAI) 34 (01 …, 2020
Data processing device, data processing method, and recording medium
M Oyamada
US Patent 10,621,173, 2020
Table enrichment system for machine learning
Y Dong, M Oyamada
Proceedings of the 45th International ACM SIGIR Conference on Research and …, 2022
Compressed Vector Set: A Fast and Space-Efficient Data Mining Framework
M Oyamada, J Liu, S Ito, K Narita, T Araki, H Kitagawa
Journal of information processing 26, 416-426, 2018
PA-Proxy: Accerelating Data Aggregation in SQL-on-Hadoop Systems
M Oyamada, T Cheng, K Narita, T Araki
DEIM, 2015
DeepJoin: Joinable Table Discovery with Pre-trained Language Models
Y Dong, C Xiao, T Nozawa, M Enomoto, M Oyamada
arXiv preprint arXiv:2212.07588, 2022
Quality Control for Hierarchical Classification with Incomplete Annotations
M Enomoto, K Takeoka, Y Dong, M Oyamada, T Okadome
Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), pp …, 2021
Table-meaning estimating system, method, and program
H Sato, S Nakadai, M Oyamada
US Patent App. 16/322,549, 2019
Accelerating Feature Engineering with Adaptive Partial Aggregation Tree
M Oyamada
2018 IEEE International Conference on Big Data (Big Data), 5417-5419, 2018
Efficient Machine Learning on Relational Data
M Oyamada
Efficient invocation of transaction sequences triggered by data streams
M Oyamada, H Kawashima, H Kitagawa
2011 International Conference on P2P, Parallel, Grid, Cloud and Internet …, 2011
Jellyfish: A Large Language Model for Data Preprocessing
H Zhang, Y Dong, C Xiao, M Oyamada
arXiv preprint arXiv:2312.01678, 2023
Correlation index construction device, correlation table search device, method, and program
Y Dong, M Oyamada
US Patent App. 18/024,188, 2023
Het systeem kan de bewerking nu niet uitvoeren. Probeer het later opnieuw.
Artikelen 1–20