Search Results - "Sakumoto, Takeshi"

Metadata-Based Clustering and Selection of Metadata Items for Similar Dataset Discovery and Data Combination Tasks by Sakumoto, Takeshi, Hayashi, Teruaki, Sakaji, Hiroki, Nonaka, Hirofumi

“…Data integration, which aims to solve problems and create new services by combining datasets, has attracted considerable attention. The discovery of similar…”
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A study on patent term prediction by survival time analysis using neural hazard model by Marusaki, Koji, Nakai, Kensei, Kataoka, Shotaro, Kawano, Seiya, Hentona, Asahi, Sakumoto, Takeshi, Yamamoto, Yuta, Mori, Kaede, Nonaka, Hirofumi

“…Patent term is considered one of the factors that determine the private value of a patent. Predicting it can therefore be used as an indicator of corporate…”
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Community Detection and Growth Potential Prediction Using the Stochastic Block Model and the Long Short-term Memory from Patent Citation Networks by Nakai, Kensei, Nonaka, Hirofumi, Hentona, Asahi, Kanai, Yuki, Sakumoto, Takeshi, Kataoka, Shotaro, Carreon, Elisa Claire Aleman, Hiraoka, Toru

“…Scoring patent documents is very useful for technology management. However, conventional methods are based on static models and, thus, do not reflect the…”
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Community Detection and Growth Potential Prediction Using the Stochastic Block Model and the Long Short-term Memory from Patent Citation Networks by Nakai, Kensei, Nonaka, Hirofumi, Hentona, Asahi, Kanai, Yuki, Sakumoto, Takeshi, Kataoka, Shotaro, Carreón, Elisa Claire Alemán, Hiraoka, Toru

“…In Proceedings of the 2018 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM2018). pp. 1884 - 1888. Bangkok, Thailand…”
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Community Detection and Growth Potential Prediction from Patent Citation Networks by Hentona, Asahi, Sakumoto, Takeshi, España, Hugo Alberto Mendoza, Nonaka, Hirofumi, Kataoka, Shotaro, Hiraoka, Toru, Nakai, Kensei, Carreón, Elisa Claire Alemán, Hirota, Masaharu

“…In Proceedings of the 10th International Conference on Management of Emergent Digital EcoSystems (MEDES'18). pp. 204 - 211. Tokyo, Japan. September 25-28, 2018…”
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