A general framework for time series data mining based on event analysis: Application to the medical domains of electroencephalography and stabilometry-Reference-Cited by-同舟云学术

A general framework for time series data mining based on event analysis: Application to the medical domains of electroencephalography and stabilometry

Published:2014-10 Issue: Volume:51 Page:219-241
ISSN:1532-0464
Container-title:Journal of Biomedical Informatics
language:en
Short-container-title:Journal of Biomedical Informatics

Author:

Lara Juan A.,Lizcano David,Pérez Aurora,Valente Juan P.

Funder

Spanish Ministry of Education and Science

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications

Reference79 articles.

1. From data mining to knowledge discovery: an overview;Fayyad,1996

3. Chan K, Fu AW. Efficient time series matching by wavelets. In: Proceedings of the 15th international conference on data engineering; 1999. p. 126–33.

4. Povinelli R. Time series data mining: identifying temporal patterns for characterization and prediction of time series. PhD thesis, Milwaukee; 1999.

5. Sensor-generated Time Series Events: a definition language;Anguera;Sensors,2012

Cited by 11 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Distributional Representation of Cyclic Alternating Patterns for A-Phase Classification in Sleep EEG;Applied Sciences;2023-09-14

2. Deep learning on time series laboratory test results from electronic health records for early detection of pancreatic cancer;Journal of Biomedical Informatics;2022-07

3. An Enhanced Machine Learning Classification System to Investigate the Status of Micronutrients in Rural Women;Proceedings of International Conference on Recent Trends in Computing;2022

4. Scotty: Fast a priori Structure-based Extraction from Time Series;2021 IEEE International Conference on Big Data (Big Data);2021-12-15

5. EEG based automatic multi‐class classification of epileptic seizure types using recurrence plots;Expert Systems;2021-12-13