Criminal intent with property: A study of real estate fraud prediction and detection

by Blackman, David H., Ph.D., CAPELLA UNIVERSITY, 2013, 178 pages; 3603868


The large number of real estate transactions across the United States, combined with closing process complexity, creates extremely large data sets that conceal anomalies indicative of fraud. The quantitative amount of damage due to fraud is immeasurable to the lives of individuals who are victims, not to mention the financial impact to organizations and the United States on a societal level. Based on data collected from a major title and settlement organization, the study creates a predictive model to detect transaction based anomalies in the residential market place. Using similar industry fraud detection models, such as credit card and automobile liability insurance, the study created a real estate domain specific model to detect fraud prior to closing the transaction. This statistical model utilizes data available during the transaction life cycle to determine potential risk and validates predictions using historical loss data from the organization. Near industry detection models were successfully leveraged to create a newly synthesized, quantitative detection model for the real estate problem domain. Organizations already have the power of detecting these potential fraud losses in the embedded knowledge base or data that exists within the organization itself. Data within an organization can be used in new ways to build competitive advantage while mitigating risk. This model provides foundational evidence to support the potential application of quantitative fraud detection within a transaction setting.

AdviserCaroline Howard
Source TypeDissertation
SubjectsManagement; Information technology
Publication Number3603868

About ProQuest Dissertations & Theses
With nearly 4 million records, the ProQuest Dissertations & Theses (PQDT) Global database is the most comprehensive collection of dissertations and theses in the world. It is the database of record for graduate research.

PQDT Global combines content from a range of the world's premier universities - from the Ivy League to the Russell Group. Of the nearly 4 million graduate works included in the database, ProQuest offers more than 2.5 million in full text formats. Of those, over 1.7 million are available in PDF format. More than 90,000 dissertations and theses are added to the database each year.

If you have questions, please feel free to visit the ProQuest Web site - - or contact ProQuest Support.