Mining Fuzzy Sequential Patterns with Fuzzy Time-Intervals in Quantitative Sequence Databases-Reference-Cited by-同舟云学术

Mining Fuzzy Sequential Patterns with Fuzzy Time-Intervals in Quantitative Sequence Databases

Published:2018-06-01 Issue:2 Volume:18 Page:3-19
ISSN:1314-4081
Container-title:Cybernetics and Information Technologies
language:en
Short-container-title:

Author:

Phuong Truong Duc¹,Van Thanh Do²,Dung Nguyen Duc³

Affiliation:

1. Hanoi Metropolitan University , Vietnam

2. Faculty of Information Technology , Nguyen Tat Thanh University , Vietnam

3. Institute of Information Technology, Vietnamese Academy of Science and Technology , Vietnam

Abstract

Abstract The main objective of this paper is to introduce fuzzy sequential patterns with fuzzy time-intervals in quantitative sequence databases. In the fuzzy sequential pattern with fuzzy time-intervals, both quantitative attributes and time distances are represented by linguistic terms. A new algorithm based on the Apriori algorithm is proposed to find the patterns. The mined patterns can be applied to market basket analysis, stock market analysis, and so on.

Publisher

Walter de Gruyter GmbH

Subject

General Computer Science

Link

https://www.sciendo.com/pdf/10.2478/cait-2018-0024

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