What are Time Series and Sequence Databases? What types of data mining capabilities can be applied to them? A time series is an ordered sequence of data points. Generally, it is measured at successive times spaced at uniform time intervals. Examples of time series are the annual flow volume of the Nile at Aswan or the daily value of a stock index. objects and it can be easily obtained from scientific and financial applications. A time series is a collection of observations made chronologically. The nature of time series data includes: large data size, high dimensionality and required for continuous updating. Additionally, time series data, which is characterized by its numerical and continuous nature, is always considered as a whole rather than in an individual numerical field. [3]Time series database: A time series database consists of sequences of values ​​or events obtained during repeated measurements of time. Suppose you receive time series data relating to stock prices. A time series database (TSDB) is a software system optimized for managing time series data, tables of numbers indexed by time (a date-time or range of date-times). In some fields, these time series are called profiles, curves or traces. TSDBs are databases optimized for time series data. Software with complex logic or business rules and high transaction volume for time series data may not be practical with traditional relational database management systems. Flat file databases are also not a viable option if the volume of data and transactions reaches a maximum threshold determined by the capacity of individual servers (processing power and storage capacity). [1]Sequence of...... middle of paper ......ime. For example, Sandy reads the New York Times from 7:00 a.m. to 7:30 a.m. every weekday morning, but her activities at other times moments do not have much regularity. Partial periodicity is a more flexible form of periodicity than full periodicity and occurs more commonly in the real world. Methods.References:[1]. http://www.distributeddatamining.org/TimeSeriesAnalysis[2].http://en.wikipedia.org/wiki/Time_series_database[3]. http://www.sciencedirect.com/science/article/pii/S0952197610001727[4]. www.cs.nyu.edu/courses/spring08/G22.3033-003/8dataseries.ppt[5]. Data Mining Concepts and Techniques by Jiawei Han and Micheline Kamber[6].CS490D: Introduction to Data Mining by Professor Chris Clifton/Clifton_Intro_Mining_Time_Series.pdf