Plato and the Problem with Timeseries
Outliers vs Probability Density Function Shifts
Outlier Detection in Time-Series Signals using FFT and Median Filtering
Outlier Detection via Markov Chain Monte Carlo
Robust Regression and Outlier Detection via Gaussian Processes
27 Oct 2014 » Handling Seasonal Data with Outliers
12 May 2014 » Statistics for Monitoring: Correlation and Clustering
21 Apr 2014 » Statistics for Monitoring: Anomaly Detection (Part 2)
03 Mar 2014 » Statistics for Monitoring: Anomaly Detection (Part 1)
14 Feb 2014 » Statistics for Monitoring: Load Testing (Tuning)
11 Feb 2014 » Statistics for Monitoring: Data Properties
10 Feb 2014 » Statistics for Monitoring: Preface
http://www.itl.nist.gov/div898/handbook/index.htm
- Exploratory Data Analysis
- Measurement Process Characterization
- Production Process Characterization
- Process Modeling
- Process Improvement
- Process or Product Monitoring and Control
- Product and Process Comparisons
- Assessing Product Reliability
Baron Schwartz
http://www.xaprb.com/about/
https://wen.lu/#q=Baron+Schwartz+presentation
Brendan Gregg
http://dtrace.org/blogs/brendan/
https://wen.lu/#q=Brendan+Gregg+presentation
测试数据
http://gdash.wikimedia.org/dashboards/reqsum/
https://dumps.wikimedia.org/other/pagecounts-raw/
https://www.firebase.com/docs/open-data/
https://aws.amazon.com/datasets
http://www.datawrangling.com/some-datasets-available-on-the-web
http://datahub.io/dataset
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