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Titlebook: Descriptive Data Mining; David L. Olson Book 20171st edition Springer Nature Singapore Pte Ltd. 2017 Business Analytics.Data Mining.Descri

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31#
發(fā)表于 2025-3-26 22:47:36 | 只看該作者
Descriptive Data Mining,g at various forms of statistics to gain understanding of the state of whatever field is being examined. The book begins with a chapter on knowledge management, seeking to provide a context of analytics in the overall framework of information management.
32#
發(fā)表于 2025-3-27 03:41:57 | 只看該作者
Book 20171st editionoverall field as well as within the more specific field of data mining analysis. Chapter 2 covers data visualization, including directions for accessing R open source software (described through Rattle). Both R and Rattle are free to students. Chapter 3 then describes market basket analysis, compari
33#
發(fā)表于 2025-3-27 07:14:14 | 只看該作者
Link Analysis,e represented as nodes and the relationships between them can be links in a graph. In biological science they have been applied to analyze protein interactions. They also have been applied to law enforcement and terrorism.
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發(fā)表于 2025-3-27 11:18:21 | 只看該作者
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發(fā)表于 2025-3-27 14:15:43 | 只看該作者
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發(fā)表于 2025-3-28 00:18:29 | 只看該作者
38#
發(fā)表于 2025-3-28 04:25:37 | 只看該作者
Thomas Friedli,Günther Schuh captured by the level of each individual’s income. Also, people perceive deprivation in different ways—and each person and community defines whatever deprivation faced and disadvantages that affect their lives in varied ways such that any concurrence is a coincidental matter.
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發(fā)表于 2025-3-28 06:59:04 | 只看該作者
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發(fā)表于 2025-3-28 11:36:01 | 只看該作者
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