Sequential Pattern Mining
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Benchmarks
Most implemented
Causal Analysis of Customer Churn Using Deep Learning
Mining compact high utility sequential patterns
HUSP-SP: Faster Utility Mining on Sequence Data
Leveraging Language Foundation Models for Human Mobility Forecasting
Memory-Efficient Sequential Pattern Mining with Hybrid Tries
Papers
AgentOS: From Application Silos to a Natural Language-Driven Data Ecosystem
The rapid emergence of open-source, locally hosted intelligent agents marks a critical inflection point in human-computer interaction. Systems such as OpenClaw demonstrate that Large Language Model (LLM)-based agents can…
Sequential Pattern MiningKnowledge GraphsFrequent Pattern Mining approach to Image Compression
The paper focuses on Image Compression, explaining efficient approaches based on Frequent Pattern Mining(FPM). The proposed compression mechanism is based on clustering similar pixels in the image and thus using cluster …
Sequential Pattern MiningImage CompressionExamining Student Interactions with a Pedagogical AI-Assistant for Essay Writing and their Impact on Students Writing Quality
The dynamic nature of interactions between students and GenAI, as well as their relationship to writing quality, remains underexplored. While most research has examined how general-purpose GenAI can support writing, fewe…
Sequential Pattern MiningUncovering Students' Inquiry Patterns in GenAI-Supported Clinical Practice: An Integration of Epistemic Network Analysis and Sequential Pattern Mining
Assessment of medication history-taking has traditionally relied on human observation, limiting scalability and detailed performance data. While Generative AI (GenAI) platforms enable extensive data collection and learni…
Sequential Pattern MiningTemporal SequencesFunctional Groups are All you Need for Chemically Interpretable Molecular Property Prediction
Molecular property prediction using deep learning (DL) models has accelerated drug and materials discovery, but the resulting DL models often lack interpretability, hindering their adoption by chemists. This work propose…
Molecular Property PredictionSequential Pattern MiningA Utility-Mining-Driven Active Learning Approach for Analyzing Clickstream Sequences
In rapidly evolving e-commerce industry, the capability of selecting high-quality data for model training is essential. This study introduces the High-Utility Sequential Pattern Mining using SHAP values (HUSPM-SHAP) mode…
Active LearningSequential Pattern Mining