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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 1–25 of 39 papers

TitleStatusHype
Causal Analysis of Customer Churn Using Deep LearningCode1
Leveraging Language Foundation Models for Human Mobility ForecastingCode1
A Utility-Mining-Driven Active Learning Approach for Analyzing Clickstream Sequences—0
The Crowd in MOOCs: A Study of Learning Patterns at Scale—0
Mining compact high utility sequential patternsCode0
Sequential pattern mining in educational data: The application context, potential, strengths, and limitations—0
HUSP-SP: Faster Utility Mining on Sequence DataCode0
Towards Sequence Utility Maximization under Utility Occupancy Measure—0
Towards Correlated Sequential Rules—0
Totally-ordered Sequential Rules for Utility Maximization—0
TaSPM: Targeted Sequential Pattern Mining—0
Memory-Efficient Sequential Pattern Mining with Hybrid TriesCode0
Incremental Mining of Frequent Serial Episodes Considering Multiple Occurrences—0
OPP-Miner: Order-preserving sequential pattern mining—0
US-Rule: Discovering Utility-driven Sequential Rules—0
Supervised sequential pattern mining of event sequences in sport to identify important patterns of play: an application to rugby unionCode0
Drive Safe: Cognitive-Behavioral Mining for Intelligent Transportation Cyber-Physical System—0
Deep learning-based sequential pattern mining for progressive database—0
High Utility Interval-Based Sequences—0
CASTER: Predicting Drug Interactions with Chemical Substructure RepresentationCode0
Constraint-based Sequential Pattern Mining with Decision DiagramsCode0
Semi-Automatic Construction of Word-Formation Networks (for Polish and Spanish)—0
Mining Non-Redundant Local Process Models From Sequence Databases—0
Efficiency Analysis of ASP Encodings for Sequential Pattern Mining Tasks—0
Declarative Sequential Pattern Mining of Care Pathways—0
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