DataHour: Anomaly Detection in Time Series Data
DataHour: Anomaly Detection in Time Series Data
02 Feb 202315:02pm - 02 Feb 202316:02pm
DataHour: Anomaly Detection in Time Series Data
About the Event
From manufacturing processes over finance applications to healthcare monitoring, detecting anomalies is an important task in every industry. There has been a lot of research on the automatic detection of anomalous patterns in time series, as they are large and exhibit complex patterns. These techniques help to identify the varying consumer behavior patterns, detect device malfunctions sensor data, monitor resource usage, video surveillance, health monitoring, etc.
In this DataHour, Parika will talk about the different techniques used to identify both Point and Subsequence Anomalies in time series data. She will also cover both the statistical and the predictive approaches including CART models, ARIMA (Facebook Prophet), unsupervised Clustering and many more.
Prerequisites: A basic understanding of Python programming language and Time Series Data would be beneficial.
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- Best articles get published on Analytics Vidhya’s Blog Space
- Best articles get published on Analytics Vidhya’s Blog Space
Who is this DataHour for?
- Best articles get published on Analytics Vidhya’s Blog Space
- Best articles get published on Analytics Vidhya’s Blog Space
- Best articles get published on Analytics Vidhya’s Blog Space
About the Speaker
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