Mining non-redundant distinguishing subsequence for trip destination forecasting-Reference-Cited by-同舟云学术

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Mining non-redundant distinguishing subsequence for trip destination forecasting

Published:2021-01 Issue: Volume:211 Page:106519
ISSN:0950-7051
Container-title:Knowledge-Based Systems
language:en
Short-container-title:Knowledge-Based Systems

Author:

Iqbal Mohammad,Pao Hsing-Kuo

Funder

Ministry of Science and Technology

Ministry of Science and Technology of Taiwan

National Taiwan University

Intel Corporation

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Management Information Systems,Software

Reference42 articles.

1. Mining association rules between sets of items in large databases;Agrawal,1993

2. CBS: A new classification method by using sequential patterns;Tseng,2005

3. Trajectory pattern mining;Giannotti,2007

4. Mining minimal distinguishing subsequence patterns with gap constraints;Ji,2005

5. Mining probabilistic frequent spatio-temporal sequential patterns with gap constraints from uncertain databases;Li,2013

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