Chapter 8: Sequential Pattern Mining — Temporal Discoveries
Abstract
Sequential pattern mining represents one of the most intellectually compelling challenges in data mining: discovering meaningful patterns hidden within the temporal dimension of data. This chapter explores the evolution, algorithms, applications, and research gaps in sequential pattern mining, from foundational sequence discovery algorithms (GSP, SPADE, PrefixSpan) to modern time-series analysis and periodic pattern detection.
Fields of Study & Subjects
Data Mining Algorithms and Applications
Time Series Analysis and Forecasting
Data Mining and Machine Learning Applications
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 16 February 2026
- Language
- EN