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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

Showing 125 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 System0
Efficiency Analysis of ASP Encodings for Sequential Pattern Mining Tasks0
Facebook 活動事件擷取系統(Facebook Activity Event Extraction System)[In Chinese]0
High Utility Interval-Based Sequences0
Hybrid Recommender System Based on Personal Behavior Mining0
Incremental Mining of Frequent Serial Episodes Considering Multiple Occurrences0
Mining Local Process Models0
Mining Non-Redundant Local Process Models From Sequence Databases0
OPP-Miner: Order-preserving sequential pattern mining0
Prefix-Projection Global Constraint for Sequential Pattern Mining0
Semi-Automatic Construction of Word-Formation Networks (for Polish and Spanish)0
Sequential pattern mining in educational data: The application context, potential, strengths, and limitations0
Sign Language Recognition Using Temporal Classification0
TaSPM: Targeted Sequential Pattern Mining0
Totally-ordered Sequential Rules for Utility Maximization0
Towards Correlated Sequential Rules0
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