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  


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+)
INPUTCSV file with timestamp data (time series observations of a dynamic object). 

Sample input data can be downloaded from from the Download Input Data Sample

Data granularityhourly (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)
- On-line class "Performance Anomaly Detection"

Project contributors:
- Anfisa Trubina 



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:

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

Thursday, August 4, 2016

Wednesday, June 8, 2016

the Collabrodor blog


Comment Welcome to Collabrodor! June 7, 2016 Welcome Pet Parents to the Collabrodor blog!  As dedicated pet parents ourselves, we hope to share with you pet related musings, information, and content.  Please take a look at out site and check…
WWW.COLLABRODOR.COM

#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   Functionality :  1. VISUALIZATION. Weekly (Monthly in ...