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SAS 99 defines fraud as an intentional act that results in a material misstatement in financial statements. There are two types of fraud considered: misstatements arising from fraudulent financial reporting (e.g. falsification of accounting records) and misstatements arising from misappropriation of assets (e.g. theft of assets or fraudulent expenditures).
SAS (previously "Statistical Analysis System") [1] is a statistical software suite developed by SAS Institute for data management, advanced analytics, multivariate analysis, business intelligence, criminal investigation, [2] and predictive analytics.
SAS Institute (or SAS, pronounced "sass") is an American multinational developer of analytics and artificial intelligence software based in Cary, North Carolina. SAS develops and markets a suite of analytics software (also called SAS), which helps access, manage, analyze and report on data to aid in decision-making. The company's software is ...
Decision-making as a term is a scientific process when that decision will affect a policy affecting an entity. Decision-making models are used as a method and process to fulfill the following objectives: Every team member is clear about how a decision will be made; The roles and responsibilities for the decision making
It relates known fraudsters to other individuals, using record linkage and social network methods. [15] [16] This type of detection is only able to detect frauds similar to those which have occurred previously and been classified by a human. To detect a novel type of fraud may require the use of an unsupervised machine learning algorithm.
Sketch of the Cynefin framework, by Edwin Stoop. The Cynefin framework (/ k ə ˈ n ɛ v ɪ n / kuh-NEV-in) [1] is a conceptual framework used to aid decision-making. [2] Created in 1999 by Dave Snowden when he worked for IBM Global Services, it has been described as a "sense-making device".
Like other decision trees, CHAID's advantages are that its output is highly visual and easy to interpret. Because it uses multiway splits by default, it needs rather large sample sizes to work effectively, since with small sample sizes the respondent groups can quickly become too small for reliable analysis.
Anti-oppressive practice is an interdisciplinary approach primarily rooted within the practice of social work that focuses on ending socioeconomic oppression.It requires the practitioner to critically examine the power imbalance inherent in an organizational structure with regards to the larger sociocultural and political context in order to develop strategies for creating an egalitarian ...