(Last updated : 2026-04-27 14:22:10)
  YASUHIRO TAJIMA
   Department   Department of Data Science, Faculty of Data Science
   Position   Professor
■ Present specialized field
Intelligent informatics, Theory of informatics (Key Word:game informatics,natural language processing,grammatical inference,machine learning) 
■ Book and thesis
1. Article A text mining of school lunch recipes in Japan and correlation between lunch dishes and nutrition balance Proceedings of the International Conference on Computer Applications pp.115-120 (Single) 2018/02
2. Article Heuristics for Daihinmin and their effectiveness International Journal of Computer and Information Science pp.7-14 (Collaboration) 2016/07
3. Article Recipe clustering based on Japanese Food Guide Spinnig Top Proceedings of the 21st International Conference on Parallel and Distributed Processing Techniques and Applications PDPTA'15 pp.304-309 (Collaboration) 2015/07
4. Article OPU at NTCIR-11 RecipeSearch: Japanese Recipe Pairing by Naive Bayes Estimation with Names of Ingredients Proceedings of the 11th NTCIR Conference on Evaluation of Information Access Technologies pp.497-498 (Collaboration) 2014/12
5. Article An example distribution for probabilistic query learning of simple deterministic languages Journal of Machine Learning Research, Workshop and Conference Proceedings pp.182-192 (Collaboration) 2014/09
6. Article Emotion estimation of comments on web news by SVM and naive Bayes based classifiers Proceedings of the 2014 International Conference on Parallel and Distributed Processing Techniques and Applications PDPTA'14 pp.189-194 (Collaboration) 2014/07
7. Article Teachability of a subclass of simple deterministic languages IEICE Transactions on Information and Systems pp.2733-2742 (Single) 2013/12
8. Article Performance Comparison between Different Language Models on a Text Segmentation Problem via HMM  pp.38-46 (Single) 2013/03
■ Academic conference presentation
1. 2007 A SYSTEM OF LEARNING LINKS BETWEEN UTTERANCES WITH META-INFORMATION IN CHARACTER BASED MULTI-PARTY CONVERSATION BY DECISION TREE (the Third International Conference on Web Information Systems and Technologies (WEBIST 2007),)
2. 2007 Detecting the links between utterances in character based multi-party conversation by machine learning with meta-information (2007 WSEAS Int. Conf. on COMPUTER ENGINEERING and APPLICATIONS (CEA'07))
3. 2007 Finding suitable keywords for a web page from caches based on similarity and frequency (the 3rd International Conference on Web Information Systems and Technologies WEBIST2007)
4. 2006 Generating a Set of Rules to Determine Honorific Expression Using Decision Tree Learning (CICLING2007)
■ Research topic, funded research, and department laboratory expense
1.   Computational Learning Theory  (Key Word : )
2.   study on machine learning and its application  (Key Word : )
3.   study on web mining technology  (Key Word : )
4. 2001  Application of Machine Learning(Natural language processing, web mining)  (Key Word : )