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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 21–30 of 39 papers

TitleStatusHype
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
Totally-ordered Sequential Rules for Utility Maximization—0
Towards Correlated Sequential Rules—0
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
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