See details: http://www.trub.in/2020/08/cpd-change-points-detection-is-planed.html
TruTech Development, LLC
TruTech Development, LLC
Saturday, August 22, 2020
Monday, June 8, 2020
The "Exercise 5. Build your weekly IT-Control Chart by Perfomalist tool" was added to my on-line CMG class "Perfomaly Detection"
As more trainees keep enrolling to my CMG/Teachable on-line class, (https://cmg1.teachable.com/p/perfomaly_detection) I have started updating the content.
So far I have added an additional exercise to use recently developed free performance profiler web tool "https://www.perfomalist.com/". So the trainees can build the weekly IT-Control Chart with the provided sample data and with their own data.
The exercise is open for every one here: https://cmg1.teachable.com/courses/perfomaly_detection/lectures/17731726
Tuesday, April 14, 2020
Monday, February 3, 2020
#AnomalyDetection Free Web App "PERFOMALIST" (v1.0) is online and ready for beta testing
Welcome to PERFOMALIST v1.0 - date-time-stamped data on-line analyser https://www.perfomalist.com/
Functionality:
1. VISUALIZATION. Weekly (Monthly in v2+) data profiling to visualize patterns, anomalies and short term seasonality via IT-Control Charts. (v1.0)
2. ANALYSIS. Anomalies and Change Points Detection in date-time stamped data. (v2+)
INPUT: CSV file with timestamp data (time series observations of a dynamic object).
which should look like:
Data granularity: hourly (v1.0); minutely, daily (v2+)
OUTPUT:
- IT-Control Chart (see example below) (v1.0)
- Data cube with summarized data (168 rows/weekhours - v1.0)
- List of anomalies and change points (v2+)
Requirement:
Input data should consist of at least 3 weeks of history as the method requires comparing the last 7 days of data (actual) with at least 2 weeks long learning/reference data set (baseline).
The size of the history is limited by about 5 years. Unlimited size of input data will be implemented in v.2.
Additional resources:
- How to read IT-Control Chart (on-line article)
Thursday, April 19, 2018
My "Performance #AnomalyDetection" Online Course is Launched at CMG.org (#CMGnews)
- Link to the course is on CMG.org site
- $99 for CMG Members; $149 for Non-Members.
What is covered:
- Machine learning based Anomaly Detection technique
- Classical (SPC) and MASF (For system performance data) Control Chartirting
- Where is the Control Chart Used?
- What are the types of Control Charts?
- Reading, building, and interpreting Control Charts
- Typical cases of real world issues captured by anomaly detection system (VMs, Mainframes, Middleware, E2E response and more)
- How to build free AWS cloud server with R and build there control charts
- Performance anomaly (Perfomaly) detection system R implementation example (SEDS-lite - open source based tool)
See more:
Tuesday, December 26, 2017
Saturday, November 4, 2017
testing earn.com....
Earn.com for businesses
If you’re a sender and want to learn more about how you can use Earn.com to increase your response rates and get more actionable user and customer feedback, contact us: sales@earn.com
Monday, October 9, 2017
Thursday, November 3, 2016
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CPD - Change Points Detection is planed to be implemented in the free web tool Perfomalist
See details: http://www.trub.in/2020/08/cpd-change-points-detection-is-planed.html
