Editing Time series (section)

===Motivation===
In the context of [[statistics]], [[econometrics]], [[quantitative finance]], [[seismology]], [[meteorology]], and [[geophysics]] the primary goal of time series analysis is [[forecasting]]. In the context of [[signal processing]], [[control engineering]] and [[communication engineering]] it is used for signal detection. Other applications are in [[data mining]], [[pattern recognition]] and [[machine learning]], where time series analysis can be used for [[cluster analysis|clustering]],<ref>{{cite journal |last1=Warren Liao |first1=T. |title=Clustering of time series data—a survey |journal=Pattern Recognition |date=November 2005 |volume=38 |issue=11 |pages=1857–1874 |doi=10.1016/j.patcog.2005.01.025 |bibcode=2005PatRe..38.1857W |s2cid=8973749 }}</ref><ref>{{cite journal |last1=Aghabozorgi |first1=Saeed |last2=Seyed Shirkhorshidi |first2=Ali |last3=Ying Wah |first3=Teh |title=Time-series clustering – A decade review |journal=Information Systems |date=October 2015 |volume=53 |pages=16–38 |doi=10.1016/j.is.2015.04.007 |s2cid=158707 }}</ref><ref>{{cite journal |last1=Li |first1=Aimin |last2=Siqi |first2=Xiong |last3=Junhuai |first3=Li |title=AngClust: Angle Feature-Based Clustering for Short Time Series Gene Expression Profiles |journal=IEEE/ACM Transactions on Computational Biology and Bioinformatics |date=April 2023 |volume=20 |issue=2 |pages=1574–1580 |doi=10.1109/TCBB.2022.3192306 |pmid=35853049 }}</ref> [[Statistical classification|classification]],<ref>{{cite book |doi=10.1145/775047.775062 |chapter=On the need for time series data mining benchmarks: A survey and empirical demonstration |title=Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining |date=2002 |last1=Keogh |first1=Eamonn |last2=Kasetty |first2=Shruti |pages=102–111 |isbn=1-58113-567-X }}</ref> query by content,<ref>{{cite book |doi=10.1007/3-540-57301-1_5 |chapter=Efficient similarity search in sequence databases |title=Foundations of Data Organization and Algorithms |series=Lecture Notes in Computer Science |date=1993 |last1=Agrawal |first1=Rakesh |last2=Faloutsos |first2=Christos |last3=Swami |first3=Arun |volume=730 |pages=69–84 |isbn=978-3-540-57301-2 |s2cid=16748451 |url=https://figshare.com/articles/journal_contribution/6605123 }}</ref> [[anomaly detection]] as well as [[forecasting]].<ref>{{cite journal |last1=Chen |first1=Cathy W. S. |last2=Chiu |first2=L. M. |title=Ordinal Time Series Forecasting of the Air Quality Index |journal=Entropy |date=4 September 2021 |volume=23 |issue=9 |pages=1167 |doi=10.3390/e23091167 |pmid=34573792 |pmc=8469594 |bibcode=2021Entrp..23.1167C |doi-access=free }}</ref>