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Hisashi Nakamura

dblp:05/3120 · DBLP profile ↗
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4ranked-venue papers
1as first author
1since 2021 · last 2022
0000-0003-1791-6325ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 3 · 1 first-author · 1 since 2021Databases, data management, data science and information retrieval · 2 · 1 first-author · 1 since 2021Systems, architecture and hardware · 1Applied, interdisciplinary, general and emerging computing · 1 · 1 first-author · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Databases, data mining, and information retrieval
1 paper
Data mining · 100%
Interdisciplinary, comprehensive, and emerging computing
1 paper
Environmental and earth informatics · 100%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Data mining
spatiotemporal data mining		 0.011995
Fast Spatio-Temporal Data Mining of Large Geophysical Datasets · KDD 1995
Environmental and earth informatics › geoscience
geophysical data analysis		 0.011995
Fast Spatio-Temporal Data Mining of Large Geophysical Datasets · KDD 1995

Methods — techniques the papers use, named apart from their topics

spatio-temporal data mining · 0.0
YearPublicationVenuePosition
2022 Toward High-Resolution Regional Atmospheric Reanalysis for Japan: An Overview of the ClimCORE Project
abstract
An overview is provided of on-going production of regional atmospheric reanalysis data RRJ-ClimCORE for Japan and its surrounding maritime domain. The data can reproduce the past atmospheric conditions four-dimensionally with high spatial and temporal resolutions, through assimilating fine-resolution observational data into a state-of-the-art operational regional forecast system. The reanalysis data will have wide-ranging potential applications in society, including disaster prevention and risk management planning, and system designing for renewable energy through deep learning.
Hisashi Nakamura, Kenichi Kuma, Kazutoshi Onogi, Takafumi Miyasaka, Yasutaka Makihara, Junichi Ishida, Makoto Iida
 IEEE Big Data1
2002 Formation of an Orientation Preference Map - Gradual Inhibition Method
Sakari Inawashiro, Jousuke Kuroiwa, Hisashi Nakamura, Shogo Miyake
 Neural Comput. Appl.3
2001 GeoFEM: high performance parallel FEM for solid earth
Kazuteru Garatani, Hisashi Nakamura, Hiroshi Okuda, Genki Yagawa
 Future Gener. Comput. Syst.2
1995 Fast Spatio-Temporal Data Mining of Large Geophysical Datasets
Paul E. Stolorz, Hisashi Nakamura, Edmond Mesrobian, Richard R. Muntz, Eddie C. Shek, Jose Renato Santos, J. Yi, Kenneth W. Ng, S.-Y. Chien, Carlos R. Mechoso, John D. Farrara
 KDD2