Data Mining - Fraud Detection

Thomas Bayes


Fraud detection

Documentation / Reference

Discover More
Card Puncher Data Processing
Ad - Fraud

Fraud in Ads.
Thomas Bayes
Data Mining - (two class|binary) classification problem (yes/no, false/true)

Binary classification is used to predict one of two possible outcomes. A two class problem (binary problem) has possibly only two outcomes: “yes or no” “success” or “failure” and is...
Thomas Bayes
Data Mining - Data Mining - (Data|Knowledge) Discovery - Statistical Learning

Data Mining can be defined as the automatic or semiautomatic task of extracting previously unknown information from a large quantity of data. Data mining try to discover in data unknown: unexpected...
Card Puncher Data Processing
Event-Data Application

are event-driven application that reports / analyze the immutable event collected (without any notion of a pre-defined lifecycle). An event-driven application is a stateful application that: ingest...
Thomas Bayes
Feature Engineering

In Feature engineering, you are: creating derived features normalize them Aggregated variables. Example: aggregated transaction count per account in last 24 hours to spot abnormal amount...
Card Puncher Data Processing
Monitoring - (Alert|Anomalie) Detection

Alerting is the science of detection Deviations from prediction on Time serie are a powerful way to tell when there is a problem and to trigger alerts when a is reached. See also: ...
Benfords Law Limitations
Statistics - Benford's law (frequency distribution of digits)

Benford's law, also called the first-digit law, refers to the frequency distribution of digits in many (but not all) real-life sources of data. If there is any cut-off which excludes a portion of the...

Share this page:
Follow us:
Task Runner