Rchr
J-GLOBAL ID:200901011658930737   Update date: Sep. 01, 2020

Ichino Manabu

イチノ マナブ | Ichino Manabu
Affiliation and department:
Homepage URL  (2): http://www.csm.ia.dendai.ac.jphttp://www.csm.ia.dendai.ac.jp
Research field  (2): Intelligent informatics ,  Information theory
Research keywords  (8): Symbolic Data Analysis ,  パターン認識 ,  データマイニング ,  知識発見 ,  Neighborhood graph ,  Pattern Recognition ,  Data Mining ,  Knowledge Discovery
Research theme for competitive and other funds  (10):
  • 2013 - 2017 The quantile methods for symbolic data analysis
  • 2010 - 2013 The quantile methods for symbolic data analysis
  • 2007 - 2010 Detection of covariant relations in multidimensional data
  • 2004 - 2006 Symbolic data analysis based on the relative neighborhood graphs
  • 2002 - 2004 Symbolic data analysis based on the relative neighborhood graphs
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Papers (10):
  • K. Umbleja, M. Ichino. Predicting students' behavior during an E-learning course using data mining. ICL2016, Belfast. 2016
  • M. Ichino, K. Umbleja. Similarity and dissimilarity measures for mixed-feature-type symbolic data. SIS2016, Salerno. 2016
  • ICHINO Manabu. The lookup table regression model for symbolic data. Data Science Workshop, Paris-Dauphin University. 2015
  • ICHINO Manabu. The quantile method for symbolic data analysis, Tutorial of symbolic data analysis. SDA2015, Orleans. 2015
  • ICHINO Manabu. The data accumulation method: dimensionality reduction, PCA, and PCA like visualization. SDA2015, Orleans. 2015
more...
MISC (96):
  • Manabu Ichino, Kadri Umbleja. Similarity and dissimilarity measures for mixed feature-type symbolic data. Springer Proceedings in Mathematics and Statistics. 2018. 227. 131-144
  • M. Ichino and P. Brito, A hierarchical conceptual clustering based on the quantile method for mixed feature-type data, Invited Paper Sessions (IPS 079) at the 59th World Statistics Congress of the International Statistical Institute held in Hong Kong, ・・・. 2013
  • M.Ichino and P. Brito, The data accumulation PCA to analyze periodically summarized multiple data tables, COMSTAT 2012, Limassol, Cyprus. 2012
  • P. Brito and M. Ichino, Conceptual clustering of symbolic data using quantile representations approaches, 4th International Conference of the ERCIM WG on Computing & Statistics, London. 2011
  • A. Nagoya, Y. Ono, and M. Ichino, A generalized measure of covariant relations based on relative neighborhood relations, Far East Journal of Theoretical Statistics. 2011
more...
Lectures and oral presentations  (11):
  • 鎖状構造抽出に有効な特徴選択法の高速化
    (電子情報通信学会研究会 2010)
  • サンプルの隣接関係に着目した多次元データに内在する共変関係 検出に関する考察,
    (情報処理学会第67回全国大会, 2005)
  • 関東周辺既存大学の分析,
    (日本教育情報学会, 2004)
  • 相関係数の一般化に関する研究,
    (第64回情報処理学会全国大 会, データベースとメディア, 一般講演, マルチメディア解析と特徴分析, 2002)
  • Generality ordered relative neighborhood graph を用いた特徴選択,
    (デー タベースとメディア, 一般講演, マルチメディア解析と特徴分析, 2002)
more...
Works (3):
  • International Openair Expressions
    2002 - 2018
  • Symbolic Data Analysis Based on the Quantile Method
    2013 - 2016
  • The quantile methods for symbolic data analysis
    2010 - 2013
Education (4):
  • - 1973 Tokyo Denki University
  • - 1973 Tokyo Denki University
  • - 1967 Tokyo Denki University Department of Electronic Engineering
  • - 1967 Tokyo Denki University
Professional career (1):
  • Doctor of Engineering (Tokyo Denki University)
Work history (14):
  • 2014/04 - 現在 Tokyo Denki University
  • 2011 - - 東京電機大学 名誉教授
  • 2011 - - Professor
  • 2000 - 2007 Tokyo Denki University School of Science and Engineering, Department of Information and Arts
  • 2007 - - 東京電機大学 理工学部 理工学科 情報システムデザイン学系 教授
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Committee career (4):
  • 2004 - 2007 理事
  • 2001 - 2007 評議員
  • 1998 - 2001 理事
  • 1993 - 1997 理工学部長,理事
Awards (1):
  • 1985 - 東京電機大学学術研究振興会
Association Membership(s) (7):
日本分類学会 ,  人工知能学会 ,  情報処理学会 ,  電子情報通信学会 ,  Classification Society of North America ,  Pattern Recognition Society ,  IEEE
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