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Knowledge Cluster Systems for Knowledge Sharing, Analysis and Delivery among Remote Sites.

K. Zettsu, T. Nakanishi, M. Iwazume, Y. Kidawara, и Y. Kiyoki. EJC, том 166 из Frontiers in Artificial Intelligence and Applications, стр. 282-289. IOS Press, (2007)

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Koji Kameo

Koji Onoda

Koji Ota

Tomoko Kojima

Hajime Kojima

Другие публикации лиц с тем же именем

A relation-based services management mechanism for service computing.Y. Akahoshi, K. Zettsu, Y. Kidawara, и K. Tanaka. IUCS, стр. 32-39. IEEE, (2010)SOBEX: distributed service Search engine that exploits service cOllaBoration contEXt.R. Zhang, K. Zettsu, T. Nakanishi, Y. Kidawara, и Y. Kiyoki. IUCS, том 398 из ACM International Conference Proceeding Series, стр. 261-268. ACM, (2009)Human Factors in Cyber-Physical Social Systems: Leveraging Social Sensor Data.S. Sowe, и K. Zettsu. EJC, том 280 из Frontiers in Artificial Intelligence and Applications, стр. 157-165. IOS Press, (2015)Parallel Mining of Partial Periodic Itemsets in Big Data.C. Saideep, R. Kiran, K. Zettsu, C. Wu, P. Reddy, M. Toyoda, и M. Kitsuregawa. IEA/AIE, том 12144 из Lecture Notes in Computer Science, стр. 807-819. Springer, (2020)Insights From Urban Sensing Data: From Chaos to Predicted Congestion Patterns.M. Dao, N. Nguyen, R. Kiran, и K. Zettsu. ICDM (Workshops), стр. 661-668. IEEE, (2020)Efficient Discovery of Partial Periodic-Frequent Patterns in Temporal Databases.S. Nakamura, R. Kiran, P. Likhitha, P. Ravikumar, Y. Watanobe, M. Dao, K. Zettsu, и M. Toyoda. DEXA (1), том 12923 из Lecture Notes in Computer Science, стр. 221-227. Springer, (2021)Discovering Frequent Spatial Patterns in Very Large Spatiotemporal Databases.R. Kiran, S. Shrivastava, P. Fournier-Viger, K. Zettsu, M. Toyoda, и M. Kitsuregawa. SIGSPATIAL/GIS, стр. 445-448. ACM, (2020)BIDAL@imageCLEFlifelog2019: The Role of Content and Context of Daily Activities in Insights from Lifelogs.M. Dao, A. Vo, T. Phan, и K. Zettsu. CLEF (Working Notes), том 2380 из CEUR Workshop Proceedings, CEUR-WS.org, (2019)Leverage the Predictive Power Score of Lifelog Data's Attributes to Predict the Expected Athlete Performance.A. Mai-Nguyen, V. Tran, M. Dao, и K. Zettsu. CLEF (Working Notes), том 2696 из CEUR Workshop Proceedings, CEUR-WS.org, (2020)Discovering Geo-referenced Frequent Patterns in Uncertain Geo-referenced Transactional Databases.P. Likhitha, P. Veena, R. Kiran, и K. Zettsu. PAKDD (3), том 13937 из Lecture Notes in Computer Science, стр. 29-41. Springer, (2023)

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