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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
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
Sign Language Recognition Using Temporal Classification—0
Wisdom of Students: A Consistent Automatic Short Answer Grading Technique—0
A Fluctuation Smoothing Approach for Unsupervised Automatic Short Answer Grading—0
Facebook 活動事件擷取系統(Facebook Activity Event Extraction System)[In Chinese]—0
Hybrid Recommender System Based on Personal Behavior Mining—0
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