Time Series Compression Survey

Compression of Cyclic Time Series Data

This paper describes a method to reduce the space of stored indicator time series data collected from a telecommunications network. The method takes advantage of the cyclic nature of the collected time series and behavioral clusters of the network elements. The method separates the shape of the daily activity cycle of a network element from volume of the traffic and clusters the daily patterns ...

Real-time Compression of Time Series Building Performance Data

If building performance simulations are to fully benefit from increasing quantities of sensor data, subsets of large datasets must be efficiently extracted at varying levels of detail. A key issue with time series data is that relevant time scales vary by orders of magnitude depending on the desired analysis. To ensure that a subset of a time series is available when needed at an appropriate re...

Time Series Abstraction Methods - A Survey

In knowledge discovery from time series the goal is to detect interesting patterns in the series that may help a human to better recognize the regularities in the observed variables and thereby improve the understanding of the system. Computer programs are very good in number crunching, but knowledge arises only in the head of a human. Ideally, knowledge discovery algorithms therefore use time ...

A Survey on Nonparametric Time Series Analysis

Clustering of time series data - a survey

Time series clustering has been shown effective in providing useful information in various domains. There seems to be an increased interest in time series clustering as part of the effort in temporal data mining research. To provide an overview, this paper surveys and summarizes previous works that investigated the clustering of time series data in various application domains. The basics of tim...