| 书目名称 | Descriptive Data Mining | | 编辑 | David L. Olson | | 视频video | | | 概述 | Includes a discussion of descriptive analytic modeling.Covers visualization in the context of data mining.Demonstrates modeling with R and other open source software products.Includes supplementary ma | | 丛书名称 | Computational Risk Management | | 图书封面 |  | | 描述 | This book offers an overview of knowledge management. It starts with an introduction to the subject, placing descriptive models in the context of the overall 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, comparing it with more advanced models, and addresses the concept of lift. Subsequently, Chapter 4 describes smarketing RFM models and compares it with more advanced predictive models. Next, Chapter 5 describes association rules, including the APriori algorithm and provides software support from R. Chapter 6 covers cluster analysis, including software support from R (Rattle), KNIME, and WEKA, all of which are open source. Chapter 7 goes on to describe link analysis, social network metrics, and open source NodeXL software, and demonstrates link analysis application using PolyAnalyst output. Chapter 8 concludes the monograph..Using business-related data to demonstrate models, this descriptive book explains how methods work with some citations, but w | | 出版日期 | Book 20171st edition | | 关键词 | Business Analytics; Data Mining; Descriptive Data Mining; Visualization; Open Source Software; Cluster An | | 版次 | 1 | | doi | https://doi.org/10.1007/978-981-10-3340-7 | | isbn_softcover | 978-981-10-9847-5 | | isbn_ebook | 978-981-10-3340-7Series ISSN 2191-1436 Series E-ISSN 2191-1444 | | issn_series | 2191-1436 | | copyright | Springer Nature Singapore Pte Ltd. 2017 |
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发表于 2025-3-21 19:44:19
