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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
Towards Sequence Utility Maximization under Utility Occupancy Measure—0
Using Answer Set Programming for pattern mining—0
Using consumer behavior data to reduce energy consumption in smart homes—0
US-Rule: Discovering Utility-driven Sequential Rules—0
The Crowd in MOOCs: A Study of Learning Patterns at Scale—0
Coupling Knowledge-Based and Data-Driven Systems for Named Entity Recognition—0
Declarative Sequential Pattern Mining of Care Pathways—0
Deep learning-based sequential pattern mining for progressive database—0
Drive Safe: Cognitive-Behavioral Mining for Intelligent Transportation Cyber-Physical System—0
Efficiency Analysis of ASP Encodings for Sequential Pattern Mining Tasks—0
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