Mining frequent pyramid patterns from time series transaction data with custom constraints
Authors:
- Wei WangWWWei Wang
- Jing TianJTJing Tian
- Fang LvFLFang Lv
- Guodong XinGXGuodong Xin
- Yingfan MaYMYingfan Ma
- Bailing WangBWBailing Wang
- 1 January 2021
- journal article
- research article
- Published by Elsevier in Computers & Security
- Vol. 100
Abstract
No abstract availableKeywords
Funding Information
- National Key R&D Program of China (2018YFB2004200)
- Fundamental Research Funds for the Central Universities (HIT.NSRIF.2020098)
- Key Research and Development Program of Shandong (2017CXGC0706)
This publication has 30 references indexed in Scilit:
- A Decision-Theoretic Rough Set Approach for Dynamic Data MiningIEEE Transactions on Fuzzy Systems, 2015
- Hypotension Risk Prediction via Sequential Contrast Patterns of ICU Blood PressureIEEE Journal of Biomedical and Health Informatics, 2015
- Efficient discovery of contrast subspaces for object explanation and characterizationKnowledge and Information Systems, 2015
- Molecular Networking and Pattern-Based Genome Mining Improves Discovery of Biosynthetic Gene Clusters and their Products from Salinispora SpeciesChemistry & Biology, 2015
- Deep sequencing reveals important roles of microRNAs in response to drought and salinity stress in cottonJournal of Experimental Botany, 2014
- Sequential pattern profiling based bio-detection for smart health serviceCluster Computing, 2014
- A data mining approach to discovering reliable sequential patternsJournal of Systems and Software, 2013
- Mining minimal distinguishing subsequence patterns with gap constraintsKnowledge and Information Systems, 2006
- A fast algorithm for mining association rulesJournal of Computer Science and Technology, 2000
- Multiple significance tests: the Bonferroni methodBMJ, 1995