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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 11–20 of 39 papers

TitleStatusHype
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
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