Data Mining Solution. Using Data Mining Analytics to Support Fraud Detection in CalWORKs Stage 1 Child Care. Data Mining Technology.
Using Data Mining Analytics to Support Fraud Detection in CalWORKsStage 1 Child Care
Data mining is a reiterative process of selecting, exploring and modeling large amounts of data to identify meaningful, logical patterns and relationships among key variables.
Data Mining 101: How to Reveal New Insights in Existing Data to Improve Performance
Insights from a webinar in the SAS Applying Business Analytics Series
Originally broadcast in June 2010
DPSS’ Data Mining Solution (DMS) is a computer application that employs pattern detection and predictive analytics to detect and prevent fraud in public assistance programs, such as our CalWORKs Stage 1 Child Care Program.
DMS Application is hosted in Cary, North Carolina by SAS OnDemand
Data Preparation Efforts
Historical data from 2001 to Present
Data was (cleaned/matched/consolidated/geocoded) monthly from DPSS and external data sources to generate dozens of variables for data mining models including:
Data Focus: Participant and Provider
CalWORKs Stage 1 Child Care
Data includes known cases of fraud and alleged fraud
Child Care and other fraud types
External Data Sources
Log On Page
Case View Select
The Participant Detail pane provides a quick view at the participant case record information related to residential address, family members, providers, employment, source income and benefits and prior welfare fraud historical records.
Participant Detail Page
The Timeline tab is a graphic representation of the data from the Provider, Address, Employment, Component, Income and Benefits, and DPSS Actions tabs This graph provides a brief, color-coded view of each data source, as well as a quick method for seeing when each event occurred.
Social Network Map View
The Relationship Tree tab shows a participant’s family, household members, and other relatives. Users can adjust the time slider to view the tree over time.
Risk Assessment tab contains a list of key fraud indicators for a participant. The tab contains two parts: the Predictive Model section and the Triggers section.
The Social Network Analysis provides a graphical view of the Participant case record centered on the graph with all the connections within the database of other Participants, Providers, Employment activities and Phone Number connections to the CalWORKs Stage 1 Child Care Participant.
Social Network Example
PDF Summary Report
From May 2011 through July 2013, the following actions were initiated: