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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 1–39 of 39 papers

TitleStatusHype
Leveraging Language Foundation Models for Human Mobility ForecastingCode1
Causal Analysis of Customer Churn Using Deep LearningCode1
CASTER: Predicting Drug Interactions with Chemical Substructure RepresentationCode0
HUSP-SP: Faster Utility Mining on Sequence DataCode0
Constraint-based Sequential Pattern Mining with Decision DiagramsCode0
A Subsequence Interleaving Model for Sequential Pattern MiningCode0
Supervised sequential pattern mining of event sequences in sport to identify important patterns of play: an application to rugby unionCode0
Memory-Efficient Sequential Pattern Mining with Hybrid TriesCode0
Mining compact high utility sequential patternsCode0
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
Mining Non-Redundant Local Process Models From Sequence Databases—0
OPP-Miner: Order-preserving sequential pattern mining—0
Prefix-Projection Global Constraint for Sequential Pattern Mining—0
Semi-Automatic Construction of Word-Formation Networks (for Polish and Spanish)—0
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
Wisdom of Students: A Consistent Automatic Short Answer Grading Technique—0
A Constraint Programming Approach for Mining Sequential Patterns in a Sequence Database—0
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
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
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