期刊名称：International Journal of Computer Technology and Applications
电子版ISSN：2229-6093
出版年度：2012
卷号：3
期号：3
页码：903-908
出版社：Technopark Publications
摘要：Time series data is sequence of well defined numerical data points in successive order, usually occurring in uniform intervals. In other words a time series is simply a sequence of numbers collected at regular intervals over a period of time. For example the daily prices of a particular stock can be considered as time series dada. Data Mining, also popularly known as Knowledge Discovery in Databases (KDD), refers to the nontrivial extraction of implicit, previously unknown and potentially useful information from data in databases. Time series databases introduce new aspects and difficulties to data mining and knowledge discovery due to their high dimensionality nature. By using symbolic representation of time series data we reduce their dimensionality and numerosity so as to overcome the problems of high dimensional databases. We can achieve the goal of time series data mining by introducing a representation of time series that is suitable for streaming algorithms
