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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 26–39 of 39 papers

TitleStatusHype
Mining Non-Redundant Local Process Models From Sequence Databases—0
OPP-Miner: Order-preserving sequential pattern mining—0
Prefix-Projection Global Constraint for Sequential Pattern Mining—0
Semi-Automatic Construction of Word-Formation Networks (for Polish and Spanish)—0
Sequential pattern mining in educational data: The application context, potential, strengths, and limitations—0
Sign Language Recognition Using Temporal Classification—0
TaSPM: Targeted Sequential Pattern Mining—0
CASTER: Predicting Drug Interactions with Chemical Substructure RepresentationCode0
Constraint-based Sequential Pattern Mining with Decision DiagramsCode0
A Subsequence Interleaving Model for Sequential Pattern MiningCode0
Memory-Efficient Sequential Pattern Mining with Hybrid TriesCode0
HUSP-SP: Faster Utility Mining on Sequence DataCode0
Mining compact high utility sequential patternsCode0
Supervised sequential pattern mining of event sequences in sport to identify important patterns of play: an application to rugby unionCode0
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