Thuật toán khai phá mẫu dãy thường xuyên trọng số chuẩn hóa với khoảng cách thời gian
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 levels of importance (weighted). We use the binding between the su...
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ĐHQGHN
2016
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| Online Access: | http://repository.vnu.edu.vn/handle/VNU_123/10895 |
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| Institution: | Vietnam National University, Hanoi |
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oai:112.137.131.14:VNU_123-108952017-04-05T14:08:54Z Thuật toán khai phá mẫu dãy thường xuyên trọng số chuẩn hóa với khoảng cách thời gian 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 levels of 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. 2016-05-26T08:31:56Z 2016-05-26T08:31:56Z 2015-12 Book Book chapter Dataset http://repository.vnu.edu.vn/handle/VNU_123/10895 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 Thuật toán khai phá mẫu dãy thường xuyên trọng số chuẩn hóa với khoảng cách thời gian |
| 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 levels of 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 |
Thuật toán khai phá mẫu dãy thường xuyên trọng số chuẩn hóa với khoảng cách thời gian |
| title_short |
Thuật toán khai phá mẫu dãy thường xuyên trọng số chuẩn hóa với khoảng cách thời gian |
| title_full |
Thuật toán khai phá mẫu dãy thường xuyên trọng số chuẩn hóa với khoảng cách thời gian |
| title_fullStr |
Thuật toán khai phá mẫu dãy thường xuyên trọng số chuẩn hóa với khoảng cách thời gian |
| title_full_unstemmed |
Thuật toán khai phá mẫu dãy thường xuyên trọng số chuẩn hóa với khoảng cách thời gian |
| title_sort |
thuật toán khai phá mẫu dãy thường xuyên trọng số chuẩn hóa với khoảng cách thời gian |
| publisher |
ĐHQGHN |
| publishDate |
2016 |
| url |
http://repository.vnu.edu.vn/handle/VNU_123/10895 |
| _version_ |
1680966463192563712 |