Mining similar temporal patterns in long time-series data and its application to medicine

被引：24

作者：

Hirano, S ^{[1
]}

Tsumoto, S ^{[1
]}

机构：

[1] Shimane Med Univ, Sch Med, Dept Med Informat, Izumo, Shimane 6938501, Japan

来源：

2002 IEEE INTERNATIONAL CONFERENCE ON DATA MINING, PROCEEDINGS | 2002年

关键词：

D O I：

10.1109/ICDM.2002.1183906

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Data mining in time-series medical databases has been receiving considerable attention since it provides a way of revealing useful information hidden in the database; for example relationships between temporal course of examination results and onset time of diseases. This paper presents a new method for finding similar patterns in temporal sequences. The method is a hybridization of phase-constraint multiscale matching and rough clustering. Multiscale matching enables us cross-scale comparison of the sequences, namely, it enable us to compare temporal patterns by partially changing observation scales. Rough clustering enable us to construct interpretable clusters of the sequences even if their similarities are given as relative similarities. We combine these methods and cluster the sequences according to multiscale similarity of patterns. Experimental results on the chronic hepatitis dataset showed that clusters demonstrating interesting temporal patterns were successfully discovered.

引用

页码：219 / 226

页数：8

共 50 条

[1] Data Mining on Extremely Long Time-Series
Simmons, Scott
Jarvis, Louis
Dempsey, David
Kempa-Liehr, Andreas W.
21ST IEEE INTERNATIONAL CONFERENCE ON DATA MINING WORKSHOPS ICDMW 2021, 2021, : 1057 - 1066
[2] Time-Series Data Mining
Esling, Philippe
Agon, Carlos
ACM COMPUTING SURVEYS, 2012, 45 (01)
[3] Gene relation discovery by mining similar subsequences in time-series microarray data
Tseng, Vincent S.
Chen, Lien-Chin
Liu, Jian-Jie
2007 IEEE SYMPOSIUM ON COMPUTATIONAL INTELLIGENCE IN BIOINFORMATICS AND COMPUTATIONAL BIOLOGY, 2007, : 106 - +
[4] Hierarchical-fuzzy clustering of temporal-patterns and its application for time-series prediction
Geva, AB
PATTERN RECOGNITION LETTERS, 1999, 20 (14) : 1519 - 1532
[5] Fuzzy data mining for time-series data
Chen, Chun-Hao
Hong, Tzung-Pei
Tseng, Vincent S.
APPLIED SOFT COMPUTING, 2012, 12 (01) : 536 - 542
[6] A Time-Series Representation for Temporal Web Mining Using a Data Band Approach
Samia, Mireille
Conrad, Stefan
DATABASES AND INFORMATION SYSTEMS IV, 2007, 155 : 161 - 174
[7] Application of time-series data mining for fault diagnosis of induction motors
Bae, H
Kim, S
Kim, YT
Lee, SH
COMPUTATIONAL SCIENCE AND ITS APPLICATIONS - ICCSA 2005, VOL 4, PROCEEDINGS, 2005, 3483 : 1085 - 1094
[8] Topological Data Analysis and Its Application to Time-Series Data Analysis
Umeda, Yuhei
Kaneko, Junji
Kikuchi, Hideyuki
FUJITSU SCIENTIFIC & TECHNICAL JOURNAL, 2019, 55 (02): : 65 - 71
[9] Topological data analysis and its application to time-series data analysis
Umeda, Yuhei
Kaneko, Junji
Kikuchi, Hideyuki
Fujitsu Scientific and Technical Journal, 2019, 55 (02): : 65 - 71
[10] Mining and Forecasting of Big Time-series Data
Sakurai, Yasushi
Matsubara, Yasuko
Faloutsos, Christos
SIGMOD'15: PROCEEDINGS OF THE 2015 ACM SIGMOD INTERNATIONAL CONFERENCE ON MANAGEMENT OF DATA, 2015, : 919 - 922

← 1 2 3 4 5 →