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Data Mining Technology Group

The Data Mining Technology Group in NEC Data Science Research Laboratories
is trying to realize a brighter world using data analytics.

Our purpose is to predict the future and optimize an entire society based on data accumulated in the real world.
We are developing data analytics technologies by using mathematical techniques such as machine learning, statistics and optimization, and are conducting commercialization of those technologies.

Topics

Recent Publication

  • Naoto Ohsaka, Tomoya Sakai, Akihiro Yabe, A Predictive Optimization Framework for Hierarchical Demand Matching, SIAM International Conference on Data Mining (SDM), 2020.
  • Naoto Ohsaka, The Solution Distribution of Influence Maximization: A High-level Experimental Study on Three Algorithmic Approaches, ACM SIGMOD International Conference on Management of Data (SIGMOD), 2020.
  • K. Kisamori, M. Kanagawa, K. Yamazaki, Simulation Calibration under Covariate Shift with Kernels, The 23rd International Conference on Artificial Intelligence and Statistics (AISTATS), 2020.
  • Kunihiro Takeoka, Yuyang Dong, Masafumi Oyamada, Learning from Unsure Responses, The Thirty-Third AAAI Conference on Artificial Intelligence (AAAI), 2020.
  • Shinji Ito, An Optimal Algorithm for Bandit Convex Optimization with Strongly-Convex and Smooth Loss, to appear in The 23rd International Conference on Artificial Intelligence and Statistics (AISTATS 2020).

Contact

For any questions regarding our data mining technologies or this web page, please

Please inform us if you are interested in the Data Mining Technology Group by filling in the "Inquiry / comments subject" form.
If the contact form is not available, please contact us via e-mail at (webmaster@datamining.jp.nec.com).
For other general inquiries regarding NEC products, etc., please contact

the NEC customer support center.

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