INFS Quiz 3 Chapter 9 Business Intelligence and Data Mining – Flashcards
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OLAP accessing data in data warehouses and data marts
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use OLAP/BI tools for direct access use front-end/BI applications for indirect access use executive dashboards for a quick glance at the data
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data mining
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discovering novel and interesting patters in large amounts of data is an interception of database management, artificial intelligence (machine learning), and statistics *predictive analysis- using past data to predict future events
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market basket analysis (aka association rule mining)
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-finds groups of items that tend to appear together in transactions -association rule: X --> Y correlations are expressed in the form: "transactions that contain X are likely to contain Y as well" -measures: SUPPORT & CONFIDENCE
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market basket analysis "SUPPORT"
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(number of transactions containing X&Y/ number of transactions total) measures the significance of the rule
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market basket analysis "CONFIDENCE"
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(number of transactions containing X&Y/ number of transactions containing X) measures the strength of the correlation, so rules with low confidence are not meaningful, even if their support is high
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business intelligence
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a broad terms encompassing analytical use of data incorporates various methods that give companies ability to discover and utilize information they already own and turn it into the knowledge that directly impacts corporate performance
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business intelligence software
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enables business users to see and use (analyze) large amounts of complex data
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