<abstract xmlns="http://www.w3.org/1999/xhtml"><p>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.</p></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.

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

Institute of Information Technology, Vietnamese Academy of Science and Technology

Cybernetics and Information Technologies

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

The main objective of this paper is to introduce fuzzy sequential patterns with fuzzy time-intervals in quantitative sequence databases. In the fuzzy...

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

Online veröffentlicht: 30. Juni 2018

Seitenbereich: 3 - 19

Eingereicht: 20. Aug. 2017

Akzeptiert: 28. Mai 2018

DOI: https://doi.org/10.2478/cait-2018-0024

Schlüsselwörter
Data mining, fuzzy sequential pattern, fuzzy time-interval, sequence database

© 2018 Truong Duc Phuong et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

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

Online veröffentlicht: 30. Juni 2018

Seitenbereich: 3 - 19

Eingereicht: 20. Aug. 2017

Akzeptiert: 28. Mai 2018

DOI: https://doi.org/10.2478/cait-2018-0024

SchlüsselwörterData mining, fuzzy sequential pattern, fuzzy time-interval, sequence database

© 2018 Truong Duc Phuong et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Schlüsselwörter
Data mining, fuzzy sequential pattern, fuzzy time-interval, sequence database