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Sequential Pattern Mining

Sequential Pattern Mining is the process that discovers relevant patterns between data examples where the values are delivered in a sequence.

Source: Big Data Analytics for Large Scale Wireless Networks: Challenges and Opportunities

Papers

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Showing 1–10 of 39 papers

TitleStatusHype
Leveraging Language Foundation Models for Human Mobility ForecastingCode1
Causal Analysis of Customer Churn Using Deep LearningCode1
Supervised sequential pattern mining of event sequences in sport to identify important patterns of play: an application to rugby unionCode0
Constraint-based Sequential Pattern Mining with Decision DiagramsCode0
A Subsequence Interleaving Model for Sequential Pattern MiningCode0
Mining compact high utility sequential patternsCode0
CASTER: Predicting Drug Interactions with Chemical Substructure RepresentationCode0
HUSP-SP: Faster Utility Mining on Sequence DataCode0
Memory-Efficient Sequential Pattern Mining with Hybrid TriesCode0
A Utility-Mining-Driven Active Learning Approach for Analyzing Clickstream Sequences—0
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