Algorithm implementations for relational data analysis
Data Mining (DM), as one main step in the process of knowledge discovery in databases (KDD), is a technique that deals with inputting prepared data, searching data with algorithms and then outputting patterns. There are many data mining techniques, such as classification, clustering, and so on. This...
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sg-ntu-dr.10356-532082023-07-04T16:31:07Z Algorithm implementations for relational data analysis Qiu, Ya. Chen Lihui School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering Data Mining (DM), as one main step in the process of knowledge discovery in databases (KDD), is a technique that deals with inputting prepared data, searching data with algorithms and then outputting patterns. There are many data mining techniques, such as classification, clustering, and so on. This work is devoted to implement a newly developed effective clustering algorithm for high-dimensional star-structured multi-type relational data mining. Master of Science 2013-05-30T07:57:50Z 2013-05-30T07:57:50Z 2012 2012 Thesis http://hdl.handle.net/10356/53208 en 80 p. application/pdf |
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DRNTU::Engineering::Electrical and electronic engineering Qiu, Ya. Algorithm implementations for relational data analysis |
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Data Mining (DM), as one main step in the process of knowledge discovery in databases (KDD), is a technique that deals with inputting prepared data, searching data with algorithms and then outputting patterns. There are many data mining techniques, such as classification, clustering, and so on. This work is devoted to implement a newly developed effective clustering algorithm for high-dimensional star-structured multi-type relational data mining. |
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Chen Lihui |
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Chen Lihui Qiu, Ya. |
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Theses and Dissertations |
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Qiu, Ya. |
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Qiu, Ya. |
title |
Algorithm implementations for relational data analysis |
title_short |
Algorithm implementations for relational data analysis |
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Algorithm implementations for relational data analysis |
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Algorithm implementations for relational data analysis |
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Algorithm implementations for relational data analysis |
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algorithm implementations for relational data analysis |
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2013 |
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http://hdl.handle.net/10356/53208 |
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1772827544501878784 |