Scalable data mining for processing complex and large-scale data

2015 Fiscal Year Final Research Report

• Project/Area Number: 24700140
• Research Category: Grant-in-Aid for Young Scientists (B)
• Allocation Type: Multi-year Fund
• Research Field: Intelligent informatics
• Research Institution: Tokyo Institute of Technology
• Principal Investigator: Tabei Yasuo 東京工業大学, 情報理工学(系)研究科, 東工大特別研究員 (20589824)
• Project Period (FY): 2012-04-01 – 2016-03-31
• Keywords: データマイニング / 機械学習 / 類似検索 / ケモインフォマティクス

Outline of Final Research Achievements

We developed scalable similarity search and machine learning techniques for processing complex and large-scale data in this project. For example, we developed a large-scale similarity search for network data and scalable learning method for training linear classifiers. Papers on the developed methods was accepted to premier conferences. In addition, softwares implementing the developed methods are publicly available and have been used by researchers and engineers in all over the world.

Free Research Field

計算機科学