Scalable Cloud-Based Time Series Analysis and Forecasting Using Open Source Software

Many organizations need to process large numbers of time series for analysis, decomposition, forecasting, monitoring, and data mining. The TSMODEL procedure, available in SAS® Visual Forecasting and SAS® Econometrics software, provides a resilient, distributed, and optimized generic time series analysis environment for cloud computing. PROC TSMODEL offers capabilities such as automatic forecast model generation, automatic variable and event selection, automatic model selection, and parameter optimization. It also provides advanced support for time series analysis (in the time domain or in the frequency domain), time series decomposition, time series modeling, signal analysis and anomaly detection (for IoT), and temporal data mining. In addition, PROC TSMODEL supports open-source integration with external languages Python and R. This paper describes the scripting language that supports cloud-based open-source integration between SAS® software and external languages; examples that demonstrate this use case are provided.

Presenter: Javier Delgado, SAS
Session ID: 4440
Topic: Analytics
Industry: Non-Industry Specific
Audience: Analyst, Programmer, Researcher
Skill Level: All

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