Mining normalized weighted frequent sequential patterns with Time intervals algorithm

In this paper, we propose a method for mining normalized weighted frequent sequential patterns with time intervals, we are not only interested in the number of occurrences of the sequence (the support), but also concerned about their level of different importance (weighted). We use the binding betwe...

Full description

Saved in:

Bibliographic Details
Main Author:	Trần Huy Dương, Vũ Đức Thi
Format:	Book Book chapter Dataset
Published:	ĐHQGHN 2016
Subjects:	Data mining, frequent sequential patterns, time intervals, weighted, sequential patterns.
Online Access:	http://repository.vnu.edu.vn/handle/VNU_123/10834
Tags:	Add Tag No Tags, Be the first to tag this record!
Institution:	Vietnam National University, Hanoi

id	oai:112.137.131.14:VNU_123-10834
record_format	dspace
spelling	oai:112.137.131.14:VNU_123-108342017-04-05T14:08:54Z Mining normalized weighted frequent sequential patterns with Time intervals algorithm Trần Huy Dương, Vũ Đức Thi Data mining, frequent sequential patterns, time intervals, weighted, sequential patterns. In this paper, we propose a method for mining normalized weighted frequent sequential patterns with time intervals, we are not only interested in the number of occurrences of the sequence (the support), but also concerned about their level of different importance (weighted). We use the binding between the support and weight of the set range to candidates in mining normalized weighted frequent sequential patterns with time intervals while maintaining the downward closure property nature which allows a balance between support and the weight of a sequence. 2016-05-26T07:30:20Z 2016-05-26T07:30:20Z 2015-09-30 Book Book chapter Dataset 191-527-1-RV http://repository.vnu.edu.vn/handle/VNU_123/10834 application/pdf ĐHQGHN
institution	Vietnam National University, Hanoi
building	VNU Library & Information Center
country	Vietnam
collection	VNU Digital Repository
topic	Data mining, frequent sequential patterns, time intervals, weighted, sequential patterns.
spellingShingle	Data mining, frequent sequential patterns, time intervals, weighted, sequential patterns. Trần Huy Dương, Vũ Đức Thi Mining normalized weighted frequent sequential patterns with Time intervals algorithm
description	In this paper, we propose a method for mining normalized weighted frequent sequential patterns with time intervals, we are not only interested in the number of occurrences of the sequence (the support), but also concerned about their level of different importance (weighted). We use the binding between the support and weight of the set range to candidates in mining normalized weighted frequent sequential patterns with time intervals while maintaining the downward closure property nature which allows a balance between support and the weight of a sequence.
format	Book Book chapter Dataset
author	Trần Huy Dương, Vũ Đức Thi
author_facet	Trần Huy Dương, Vũ Đức Thi
author_sort	Trần Huy Dương, Vũ Đức Thi
title	Mining normalized weighted frequent sequential patterns with Time intervals algorithm
title_short	Mining normalized weighted frequent sequential patterns with Time intervals algorithm
title_full	Mining normalized weighted frequent sequential patterns with Time intervals algorithm
title_fullStr	Mining normalized weighted frequent sequential patterns with Time intervals algorithm
title_full_unstemmed	Mining normalized weighted frequent sequential patterns with Time intervals algorithm
title_sort	mining normalized weighted frequent sequential patterns with time intervals algorithm
publisher	ĐHQGHN
publishDate	2016
url	http://repository.vnu.edu.vn/handle/VNU_123/10834
_version_	1680968200986034176

Mining normalized weighted frequent sequential patterns with Time intervals algorithm

Similar Items