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...

Full description

Saved in:
Bibliographic Details
Main Author: Qiu, Ya.
Other Authors: Chen Lihui
Format: Theses and Dissertations
Language:English
Published: 2013
Subjects:
Online Access:http://hdl.handle.net/10356/53208
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Nanyang Technological University
Language: English
id sg-ntu-dr.10356-53208
record_format dspace
spelling 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
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering::Electrical and electronic engineering
spellingShingle DRNTU::Engineering::Electrical and electronic engineering
Qiu, Ya.
Algorithm implementations for relational data analysis
description 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.
author2 Chen Lihui
author_facet Chen Lihui
Qiu, Ya.
format Theses and Dissertations
author Qiu, Ya.
author_sort Qiu, Ya.
title Algorithm implementations for relational data analysis
title_short Algorithm implementations for relational data analysis
title_full Algorithm implementations for relational data analysis
title_fullStr Algorithm implementations for relational data analysis
title_full_unstemmed Algorithm implementations for relational data analysis
title_sort algorithm implementations for relational data analysis
publishDate 2013
url http://hdl.handle.net/10356/53208
_version_ 1772827544501878784