Rchr

J-GLOBAL ID：200901047478411760 Update date: Nov. 06, 2024

Kuboyama Tetsuji

クボヤマテツジ | Kuboyama Tetsuji

Affiliation and department：
Job title： Professor
Other affiliations (1)：

Tokyo Denki University

Homepage URL (2)： https://tk.cc.gakushuin.ac.jp , https://tk.cc.gakushuin.ac.jp/en/

Research field (3)： Intelligent informatics , Information theory , Library/information science, humanistic/social informatics

Research keywords (21)： Feature Selection , Tree Edit Distance , Machine Learning , Edit Distance , Designing Similarity Measures , カーネル法 , Glycan Strucgtures , Network Analysis , Similarity Measures , 木のアラインメント , 離散データ構造 , 公共事業入札 , グラフ構造 , データマイニング , 木構造データ , 情報抽出 , グラフ構造データ , 遺伝的プログラミング , パターン発見 , kernel methods , tree structures

Research theme for competitive and other funds (33)：

2023 - 2028 Exploration of Crystal Surface Structures through Enumeration of Discrete Structures on an Infinite Plane and Similarity Design
2022 - 2026 グラフ構造パターンにより可視化された説明可能なグラフ構造化知識の獲得システム
2021 - 2026 A Method for Analyzing Collective Behavior Based on Structuring Topics on Large-Scale SNS
2020 - 2025 New Problem Formulation on Next Generation Informatics and Researches on thier Algorithms
2020 - 2024 自然言語処理技術を用いた日英仏議会テキスト解析による国会の特質・変則性の解明

2019 - 2024 Efficient Text Big Data Mining Technology via Structure Extraction

2019 - 2023 Figure and ground approaches for scalable biclustering and their applications

2018 - 2021 Topic Transition Analysis from Millions of Tweets After Severe Disasters

2017 - 2021 Construction of Machine Learning Computing Base and Creation of Remarkable Contributions in Multiple Research Fields

2017 - 2020 Properties of Weakly Closed Itemsets and their Application to Knowledge Discovery

2016 - 2020 Foundations of knowledge synthesis based on selection of concept and creation of pivots for high-dimensional feature space

2015 - 2019 Discovery of Deep Knowledge from Graph-Structured Data using Expressive Graph-Structured Patterns

2015 - 2018 Time Series Topic Extraction from Millions of Tweets after the East Japan Great Earthquake Considering Author's Role

2014 - 2018 Systematic studies on de-anonymization attacks and their countermeasures

2014 - 2017 Knowledge Discovery Methods based on Closed Set Construction for Data with Attributes Whose Values are from Ordered Sets

2014 - 2017 Finding new mathematical knot theory using data compression

2014 - 2016 The theory of filter based feature selection and high-performance algorithms

2011 - 2015 Compressed Mining: exposing hidden knowledge in large-scale data

2012 - 2015 Foundations of knowledge discovery based on embedding and dimension reduction in high-dimensional feature space

2012 - 2014 Reputation Analysis related to the East Japan Great Earthquake by Cross Media Analysis

2011 - 2013 A study on positive-definite and efficient kernels for structured data

2011 - 2013 Can data compression algorithm do abstraction?

2011 - 2013 Analyzing bids on public projects based on knowledge discovery from discrete data structures

2010 - 2012 Effective Discovery of Hidden Structured Knowledge using Data Mining and Machine Learning

2009 - 2011 Design of the fast computable similarities for tree-structured data and their extension to several discrete structures

2008 - 2010 Designing similarity measures for discrete data structures, and their applications to machine learning

2007 - 2009 Information Fusion from Semi-structured Data using Data Mining and Machine Learning

2005 - 2007 木の編集距離による近似パタン発見と半構造データからの情報抽出

2004 - 2005 機械学習手法による半構造データマイニングと情報抽出

2001 - 2003 Discovery Knowledge and Data Mining from Structured Data

2003 - 離散構造のパターン照合・機械学習

2002 - 情報セキュリティ

Pattern Matching between discrete structures, Machine Learning

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Papers (126)：

Tetsuji Kuboyama, Akira Kusaba. SAT solver-driven approach for validating local electron counting rule. Journal of Crystal Growth. 2025
Naoya Higuchi, Yasunobu Imamura, Vladimir Mic, Takeshi Shinohara, Kouichi Hirata, Tetsuji Kuboyama. Fast Filtering for Similarity Search Using Conjunctive Enumeration of Sketches in Order of Hamming Distance. ICPRAM. 2024. 499-510
草場彰, 寒川義裕, 久保山哲二, 新田州吾, 白石賢二, 押山淳. GaN有機金属気相成長におけるデジタルツイン開発の現状(特集「エピタキシャル成長の量子論における新展開:シミュレーションからデジタルツインへ」). 日本結晶成長学会誌. 2023. 50. 1. 50-1-05
TOKUNAGA Hiroko, KUBOYAMA Tetsuji, KIMURA Atsushi, MUKAWA Naoki. A Consideration of Psychological Effect of Co-eating Based on Analysis of Conversational Behavior: From Comparison of Affects by Dining Styles. 2023. J106-A. 3. 104-113
Analysis on Comments to News Articles by Diversity Analysis. 2022. 2022. 207-212

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MISC (131)：

樋口直哉, 今村安伸, 篠原武, 平田耕一, 久保山哲二. スケッチを用いた検索における2段階フィルタリングの有効性の検証. 人工知能学会研究会資料人工知能基本問題研究会. 2023. 123. 24-29
徳永弘子, 久保山哲二, 木村敦, 武川直樹. How Conversational Behavior is Affected by Dining Styles. 電子情報通信学会技術研究報告(Web). 2022. 121. 363(HCS2021 43-60). 43-48
KAWASAKI Yuma, MIYAHARA Tetsuihiro, KUBOYAMA Tetsuji, SUZUKI Yusuke, UCHIDA Tomoyuki. Evolutionary Acquisition of Multiple TTSP Graph Patterns with Wildcards by Clustering TTSP Graphs. Proceedings of the Annual Conference of JSAI. 2021. JSAI2021. 4G3GS2l01-4G3GS2l01
YOKOYAMA Shunsuke, MIYAHARA Tetsuhiro, SUZUKI Yusuke, UCHIDA Tomoyuki, KUBOYAMA Tetsuji. Acquisition of Tag Tree Patterns with Vertex Labels and Wildcards by Evolutionary Learning using Label Information. Proceedings of the Annual Conference of JSAI. 2021. JSAI2021. 4G3GS2l02-4G3GS2l02
TOKUHARA Fumiya, OKINAGA Shiho, MIYAHARA Tetsuhiro, SUZUKI Yusuke, KUBOYAMA Tetsuji, UCHIDA Tomoyuki. Acquisition of Multiple Block Preserving Outerplanar Graph Patterns with Wildcards by Evolutionary Learning using Label Information. Proceedings of the Annual Conference of JSAI. 2020. JSAI2020. 1O3GS802-1O3GS802

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Education (1)：

1989 - 1992 Kyushu University Engineering Computer Science

Professional career (1)：

Ph.D. (University of Tokyo)

Work history (6)：

2019/12 - 現在 Tokyo Denki University
2019/04 - 現在 Gakushuin University Archival Science, Graduate School of Humanities Professor
2013/04 - 現在 Gakushuin University Computer Centre Professor
2008/04 - 2013/03 Gakushuin University Computer Centre Associate Professor
2009/07 - 2009/09 University of Bern Institute of Computer Science and Applied Mathematics Visiting Researcher

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Committee career (6)：

2018/04 - 2022/03 情報処理学会情報処理学会論文誌: 数理モデル化と応用編集委員
2012/04 - 2015/03 情報処理学会情報処理学会論文誌: 数理モデル化と応用編集委員
2012/04 - 2014/03 人工知能学会人工知能基本問題研究会(SIG-FPAI) 主査
2010/04 - 2012/03 人工知能学会人工知能基本問題研究会(SIG-FPAI) 主幹事
2007/04 - 2011/03 情報処理学会情報処理学会論文誌: 数理モデル化と応用編集委員

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Awards (4)：

2016/09 - Best Paper Award Breaking Anonymity of Social Network Accounts by Using Coordinated and Extensible Classifiers based on Machine Learning
2009 - KES The Best Invited Session Award Session on Social Network
2007 - 人工知能学会研究会優秀賞畳み込みカーネルと多項式カーネルの一般化
2006 - DEWS 優秀プレゼンテーション賞共通構造の数え上げによる半構造データカーネルの設計

Association Membership(s) (4)：

THE DATABASE SOCIETY OF JAPAN , 人工知能学会 , 電子情報通信学会 , 情報処理学会

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