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News/Promoting Simple Agents: Ensemble Methods for Event-Log Prediction
arxiv
PublishedApril 24, 2026 at 4:00 AM
—neutral

Promoting Simple Agents: Ensemble Methods for Event-Log Prediction

Source
arxiv.orgfull article ↗
Read on arxiv→
Publisher summary· verbatim

arXiv:2604.21629v1 Announce Type: cross Abstract: We compare lightweight automata-based models (n-grams) with neural architectures (LSTM, Transformer) for next-activity prediction in streaming event logs. Experiments on synthetic patterns and five real-world process mining datasets show that n-grams

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Discussion
Mentioned models
03
  • 01
    n-grams
  • 02
    LSTM
  • 03
    Transformer
Source
↗
arxiv
Read original ↗All from arxiv →
Tags
04
#machine learning#ensemble methods#process mining#neural architectures

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Mentioned models
03
  • 01
    n-grams
  • 02
    LSTM
  • 03
    Transformer
Source
↗
arxiv
Read original ↗All from arxiv →
Tags
04
#machine learning#ensemble methods#process mining#neural architectures

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arxivAn AI Security Agent for University ACMIS: Multi-Vector Threat Detection and Automated Response16harxivLearning Transferable Latent User Preferences for Human-Aligned Decision Making16h
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