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Titlebook: Data Mining for Managers; How to Use Data (Big Richard Boire Book 2014 Palgrave Macmillan, a division of Nature America Inc. 2014 big data.

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樓主: Enlightening
41#
發(fā)表于 2025-3-28 15:07:44 | 只看該作者
42#
發(fā)表于 2025-3-28 19:51:01 | 只看該作者
Comet/Asteroid Impacts and Human Society. How is the impact of a given solution assessed? In particular, how is this impact assessed in business terms that are understandable to the business executives? The answer is through validation by what is often referred to as a gains table,
43#
發(fā)表于 2025-3-29 01:46:00 | 只看該作者
44#
發(fā)表于 2025-3-29 04:46:59 | 只看該作者
Martha S. Hanner,Alan T. Tokunaga a continuous range of values; logistic regression predicts outcomes that are categorical in nature. The most commonly used logistic routines are used to predict yes/no behaviors, such as response, attrition, or credit default. The outcome derived can also be a set of rules such as CHAID rather than
45#
發(fā)表于 2025-3-29 08:58:49 | 只看該作者
46#
發(fā)表于 2025-3-29 15:00:11 | 只看該作者
Brahmin Jesters and Sufi Wise Foolsto marketing. For example, the development of credit-risk models could be applied in the operations area; the output of these models consists of the risk segments that are associated with these customers. In applying solutions, the most important consideration is to ensure that the solution is being
47#
發(fā)表于 2025-3-29 17:03:21 | 只看該作者
Brahmin Jesters and Sufi Wise Foolsoping a segmentation strategy is based on value. The key and ultimately the largest challenge in this type of exercise is the identification of metrics and measures that comprise value. Once these measures and metrics are identified, a value result is built for each customer record. The results of t
48#
發(fā)表于 2025-3-29 20:55:39 | 只看該作者
Rude Theory: The Rough Trade of the Fabliauxskepticism and doubts are now embraced by many organizations. Yet, from a practitioner’s perspective, some solutions are easier to understand than others. The challenge for the practitioner is to communicate with the business end user in such a way that the end user knows how to use and apply the so
49#
發(fā)表于 2025-3-30 00:14:53 | 只看該作者
https://doi.org/10.1007/978-1-349-05852-5d data mining to the forefront of business today? To get a sense of data mining’s history, it is useful to speak to its early practitioners, namely, the direct marketers of the large major catalogue companies and publishing houses.
50#
發(fā)表于 2025-3-30 04:06:42 | 只看該作者
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