Exam 12: Decision Making and Business Intelligence

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________ analysis that identifies groups of entities with similar characteristics is a common unsupervised data-mining technique.

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Data-mining is about probabilities, not certainties. So sometimes a good model may look bad because of a string of bad luck.

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For developing BI applications, it is generally better to have too ________ a granularity rather than too coarse.

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Coarse data are highly summarized.

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Which of the following is an assumption about information systems that Ackoff disputed?

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The data processing strategy that waits for many transactions to pile up before they are processed is called

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Generally it is better to have data that is too fine rather than too coarse.

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A data-mining system uses statistical analysis to enable fundraisers to predict who will donate to a cause.

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Market-basket analysis is a data-mining system, which computes correlations based on past orders to determine items that are frequently purchased together.

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An OLAP report has

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________ systems are the backbone of all functional, cross-functional, and inter-organizational systems in an organization.

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________ integrate data from multiple sources, and they process those data by sorting, grouping, summing, averaging, and comparing.

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What are the three assumptions that Ackoff disagreed with?

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Expert systems encapsulate knowledge and use if/then rules to support decisions.

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It is better to have data that is too fine than too coarse because fine data can be converted to coarse data by

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If transactions are entered and processed immediately upon entry, then the system is operating in

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________ is the application of statistical techniques to find patterns and relationships among data and to classify and predict.

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Which of the following is an assumption about information systems that Ackoff disputed?

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Systems that focus on making data collected in OLTP to support decision making are often referred to as expert systems.

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What is supervised data mining?

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