Titlebook: High Performance Discovery In Time Series; Techniques and Case Dennis Shasha,Yunyue Zhu Book 2004 Dennis E. Shasha and Yunyue Zhu 2004 alg

辮子帶來(lái)幫助

委屈

Predigest

Aqueous-Humor

承認(rèn)

978-1-4419-1842-0Dennis E. Shasha and Yunyue Zhu 2004

油氈

Intuitive

https://doi.org/10.1007/978-1-4757-4046-2algebra; algorithms; bioinformatics; calculus; communication; computer; data analysis; database; databases; d

改變立場(chǎng)

Data Reduction and Transformation TechniquesFrom a data mining point of view, time series data has two important characteristics:

繁榮中國(guó)

險(xiǎn)代理人

Time Series Preliminariesdaily, and hourly. Data recorded irregularly are often interpolated to form values at regular intervals before the time series is analyzed. We often represent a time series as just a vector of real numbers.