AIJan 9, 2018

Greenhouse: A Zero-Positive Machine Learning System for Time-Series Anomaly Detection

arXiv:1801.03168v340 citations
Originality Synthesis-oriented
AI Analysis

This addresses anomaly detection in time-series data, but it appears incremental as it builds on zero-positive learning concepts without claiming major breakthroughs.

The paper tackles the problem of time-series anomaly detection by proposing Greenhouse, a zero-positive machine learning system, but no concrete results or numbers are provided as it describes ongoing research.

This short paper describes our ongoing research on Greenhouse - a zero-positive machine learning system for time-series anomaly detection.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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