Shinichi Morishita

Name: dblp XML data dump
Creator: Schloss Dagstuhl - Leibniz Center for Informatics
Published: 1993
License: https://creativecommons.org/publicdomain/zero/1.0/
Keywords: dblp, XML, computer science, scholarly publications, metadata

◀ ▶ joint publications with Yasuhiko Morimoto

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Publications

2001
[j8]
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Yasuhiko Morimoto, Hiromu Ishii, Shinichi Morishita:
Efficient Construction of Regression Trees with Range and Region Splitting. Mach. Learn. 45(3): 235-259 (2001)
[j6]
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Takeshi Fukuda, Yasuhiko Morimoto, Shinichi Morishita, Takeshi Tokuyama:
Data Mining with optimized two-dimensional association rules. ACM Trans. Database Syst. 26(2): 179-213 (2001)
1999
[j4]
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  - journals/jcss/FukudaMMT99
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Takeshi Fukuda, Yasuhiko Morimoto, Shinichi Morishita, Takeshi Tokuyama:
Mining Optimized Association Rules for Numeric Attributes. J. Comput. Syst. Sci. 58(1): 1-12 (1999)
1997
[c14]
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  - electronic edition @ aaai.org
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  - conf/kdd/YodaFMMT97
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Kunikazu Yoda, Takeshi Fukuda, Yasuhiko Morimoto, Shinichi Morishita, Takeshi Tokuyama:
Computing Optimized Rectilinear Regions for Association Rules. KDD 1997: 96-103
[c13]
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Yasuhiko Morimoto, Hiromu Ishii, Shinichi Morishita:
Efficient Construction of Regression Trees with Range and Region Splitting. VLDB 1997: 166-175
1996
[c12]
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Takeshi Fukuda, Yasuhiko Morimoto, Shinichi Morishita, Takeshi Tokuyama:
Interval Finding and Its Application to Data Mining. ISAAC 1996: 55-64
[c11]
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Takeshi Fukuda, Yasuhiko Morimoto, Shinichi Morishita, Takeshi Tokuyama:
Mining Optimized Association Rules for Numeric Attributes. PODS 1996: 182-191
[c10]
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Takeshi Fukuda, Yasuhiko Morimoto, Shinichi Morishita, Takeshi Tokuyama:
Data Mining Using Two-Dimensional Optimized Accociation Rules: Scheme, Algorithms, and Visualization. SIGMOD Conference 1996: 13-23
[c9]
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Takeshi Fukuda, Yasuhiko Morimoto, Shinichi Morishita, Takeshi Tokuyama:
SONAR: System for Optimized Numeric AssociationRules. SIGMOD Conference 1996: 553
[c8]
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Takeshi Fukuda, Yasuhiko Morimoto, Shinichi Morishita, Takeshi Tokuyama:
Constructing Efficient Decision Trees by Using Optimized Numeric Association Rules. VLDB 1996: 146-155

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