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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 1–25 of 39 papers

TitleStatusHype
Leveraging Language Foundation Models for Human Mobility ForecastingCode1
Causal Analysis of Customer Churn Using Deep LearningCode1
A Fluctuation Smoothing Approach for Unsupervised Automatic Short Answer Grading—0
A global Constraint for mining Sequential Patterns with GAP constraint—0
An Efficient Algorithm for Mining Frequent Sequence with Constraint Programming—0
A Utility-Mining-Driven Active Learning Approach for Analyzing Clickstream Sequences—0
Wisdom of Students: A Consistent Automatic Short Answer Grading Technique—0
A Constraint Programming Approach for Mining Sequential Patterns in a Sequence Database—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
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
Facebook 活動事件擷取系統(Facebook Activity Event Extraction System)[In Chinese]—0
High Utility Interval-Based Sequences—0
Hybrid Recommender System Based on Personal Behavior Mining—0
Incremental Mining of Frequent Serial Episodes Considering Multiple Occurrences—0
Mining Local Process Models—0
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