Development of a Kansei data mining system based on random rough sets
Development of a Kansei data mining system based on random rough sets
批准号:
23700244
负责人:
KUDO Yasuo
金额:
$2.0万
依托单位国家:
日本
项目类别:
Grant-in-Aid for Young Scientists (B)
财政年份:
2011
资助国家:
日本
项目状态:
已结题
起止时间:
2011 至 2012
中文摘要
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英文摘要
In this study, we proposed a random rough set model by introducing a concept of ensemble learning to rough sets. We also developed a Kansei data mining system based on the random rough set model and evaluated the developed system by experiments. Consequently, our study contributed the development of essential basis of rough set-based data mining for Kansei data with many samples and attributes.
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A Parallel Computation Method for Heuristic Attribute Reduction Using Reduced Decision Tables
使用简化决策表进行启发式属性约简的并行计算方法
DOI:
--
发表时间:
2013
期刊:
JACIII
影响因子:
--
作者:
[H. Hashikami, T. Tanabata, F. Hirose, N. Hasanah, K. Sawase, and H. Nobuhara, Kazuhito Sawase, Yasuo Kudo and Tetsuya Murai]
通讯作者:
Yasuo Kudo and Tetsuya Murai
A Revised Approach to Solving the Symbolic Value Partition Problem from a Viewpoint of Roughness of Partitions
从划分粗糙度的角度解决符号值划分问题的修正方法
DOI:
--
发表时间:
2012
期刊:
Int. J. Reasoning-based Intelligent Systems
影响因子:
--
作者:
[H. Hashikami, T. Tanabata, F. Hirose, N. Hasanah, K. Sawase, and H. Nobuhara, Yasuo Kudo]
通讯作者:
Yasuo Kudo
An Attempt of Hybridization of Generalized Dynamic Reducts and A Heuristic Attribute Reduction Using Reduced Decision Tables
广义动态约简和使用约简决策表的启发式属性约简的混合尝试
DOI:
--
发表时间:
2013
期刊:
影响因子:
--
作者:
[T. Tanabata, F. Hirose, H. Hashikami, and H. Nobuhara, Yasuo Kudo and Tetsuya Murai]
通讯作者:
Yasuo Kudo and Tetsuya Murai
ラフ集合におけるヒューリスティックな縮約計算の並列化の試み
尝试并行化粗糙集的启发式约简计算
DOI:
--
发表时间:
2012
期刊:
影响因子:
--
作者:
[H. Nur, K. Sawase, H. Nobuhara, 工藤康生,岡田隆生,村井哲也]
通讯作者:
工藤康生,岡田隆生,村井哲也
Multidimensional Service Weight Sequence Mining based on Cloud Service Utilization in Jyaguchi
基于Jyaguchi云服务利用的多维服务权重序列挖掘
DOI:
--
发表时间:
2013
期刊:
影响因子:
--
作者:
[S. K. Shrestha, Y. Kudo, B. P. Gautam, and D. Shrestha]
通讯作者:
and D. Shrestha
共 9 条
Recommendation methods that allow inconsistency of preferences - A new approach based on interrelationship mining -
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批准号:16K00365
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项目类别:Grant-in-Aid for Scientific Research (C)
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资助金额:$2.83万
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财政年份:2016
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负责人:KUDO Yasuo
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依托单位:
Rough set-based interrelationship mining - A new approch for Kansei data analysis -
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批准号:25330315
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项目类别:Grant-in-Aid for Scientific Research (C)
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资助金额:$3.08万
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财政年份:2013
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负责人:KUDO Yasuo
-
依托单位:
A study on preference extraction using interaction of structure and content based on object-oriented rough sets
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批准号:20700192
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项目类别:Grant-in-Aid for Young Scientists (B)
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资助金额:$1.33万
-
财政年份:2008
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负责人:KUDO Yasuo
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依托单位:
海外基金