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In effort to meet this goal, researchers have turned to ideas from the machine learning field. This is a natural source of ideas, since the machine learning task can be described as turning background knowledge and examples (input) into knowledge (output). If data mining results in discovering meaningful patterns, data turns into information.
An example of data mining related to an integrated-circuit (IC) production line is described in the paper "Mining IC Test Data to Optimize VLSI Testing." [12] In this paper, the application of data mining and decision analysis to the problem of die-level functional testing is described. Experiments mentioned demonstrate the ability to apply a ...
Audit technology is a general term used for computer-aided audit techniques (CAATs) used by accounting firms to enhance an engagement. These techniques improve the efficiency and effectiveness of audit findings by allowing auditors to analyze much larger sets of data, sometimes using entire populations of data, rather than taking a sample.
It can include the determination of the clarity of the data sources and can be applied in the way banks and rating agencies perform due diligence with regard to the treatment of raw data given by firms, particularly the identification of faulty data. [1] Data auditing can also refer to the audit of a system to determine its efficacy in ...
An IT audit is different from a financial statement audit.While a financial audit's purpose is to evaluate whether the financial statements present fairly, in all material respects, an entity's financial position, results of operations, and cash flows in conformity to standard accounting practices, the purposes of an IT audit is to evaluate the system's internal control design and effectiveness.
Audit evidence collection is also being improved through audit data analytics, which also provide the auditor the ability to view the entire population of data, rather than just a sample. [4] Viewing greater amounts of data leads to a more efficient audit and a greater understanding of the audit evidence.
Audit log: Specifies whether the product logs activity performed by the user (the auditor) for later reference (e.g., inclusion into audit report). Data graph: Specifies whether the product provides graphs of results. Export (CSV): Specifies whether the product support exporting selected rows to a comma-separated values formatted file.
Data mining is a particular data analysis technique that focuses on statistical modeling and knowledge discovery for predictive rather than purely descriptive purposes, while business intelligence covers data analysis that relies heavily on aggregation, focusing mainly on business information. [4]