Ichino Manabu

イチノマナブ | Ichino Manabu

Affiliation and department：

Research field (2)： Intelligent informatics , Information theory

Research keywords (5)： Symbolic Data Analysis , Pattern recognition , Data mining , Knowledge discovery , Neighborhood graph

Research theme for competitive and other funds (10)：

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Papers (15)：

Manabu Ichino. Exploratory Analysis of Distributional Data Using the Quantile Method. AppliedMath. 2024. 4. 1. 261-288
Manabu Ichino. The Lookup Table Regression Model for Histogram-Valued Symbolic Data. Stats. 2022. 2022. 5. 1271-1293
M Ichino, K Umbleja, H Yaguchi. Unsupervised feature selection for histogram-valued symbolic data using hierarchical conceptual clustering. Stats. 2021. 4. 2. 359-384
K Umbleja, M Ichino H Yaguchi. Hierarchical conceptual clustering based on quantile method for identifying microscopic details in distributional data. Advances in Data Analysis and Classification. 2021. 15. 2. 407-436
K Umbleja, M Ichino, H Yaguchi. Improving symbolic data visualization for pattern recognition and knowledge discovery. Visual Informatics. 2020. 4. 1. 23-31

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MISC (94)：

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

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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)

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Works (2)：

Education (2)：

1967 - 1973 Tokyo Denki University Graduate School of Engineering
1963 - 1967 Tokyo Denki University School of Engineering Department of Electronic Engineering

Professional career (1)：

Work history (9)：

2014/04 - 現在 Tokyo Denki University Professor Emeritus
2007/04 - 2014/03 Tokyo Denki University Division of Information System Design School of Science and Engineering Professor
2000/04 - 2007/03 Tokyo Denki University Professor, Department of Information and Arts, School of Science and Engineering
1984/04 - 2000/03 Tokyo Denki University Professor, Department of Computers and Systems Engineering, School of Science and Engineering
1976/03 - 1984/03 Tokyo Denki University Associate Professor, School of Science and Engineering

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Committee career (4)：

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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