Association for Computing Machinery
Given a large collection of time series, such as web-click logs, electric medical records and motion capture sensors, how can the authors efficiently and effectively find typical patterns? How can they statistically summarize all the sequences and achieve a meaningful segmentation? What are the major tools for forecasting and outlier detection? Time-series data analysis is becoming of increasingly high importance, thanks to the decreasing cost of hardware and the increasing on-line processing capability. This paper is to provide a concise and intuitive overview of the most important tools that can help them find patterns in large-scale time-series sequences.