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Titlebook: Data Mining and Market Intelligence; Implications for Dec Mustapha Akinkunmi Book 2018 Springer Nature Switzerland AG 2018

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發(fā)表于 2025-3-21 16:26:40 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Data Mining and Market Intelligence
副標(biāo)題Implications for Dec
編輯Mustapha Akinkunmi
視頻videohttp://file.papertrans.cn/263/262940/262940.mp4
叢書名稱Synthesis Lectures on Engineering, Science, and Technology
圖書封面Titlebook: Data Mining and Market Intelligence; Implications for Dec Mustapha Akinkunmi Book 2018 Springer Nature Switzerland AG 2018
描述.This book is written to address the issues relating to data gathering, data warehousing, and data analysis, all of which are useful when working with large amounts of data. Using practical examples of market intelligence, this book is designed to inspire and inform readers on how to conduct market intelligence by leveraging data and technology, supporting smart decision making. The book explains some suitable methodologies for data analysis that are based on robust statistical methods. For illustrative purposes, the author uses real-life data for all the examples in this book. In addition, the book discusses the concepts, techniques, and applications of digital media and mobile data mining...Hence, this book is a guide tool for policy makers, academics, and practitioners whose areas of interest are statistical inference, applied statistics, applied mathematics, business mathematics, quantitative techniques, and economic and social statistics..
出版日期Book 2018
版次1
doihttps://doi.org/10.1007/978-3-031-79390-5
isbn_softcover978-3-031-79389-9
isbn_ebook978-3-031-79390-5Series ISSN 2690-0300 Series E-ISSN 2690-0327
issn_series 2690-0300
copyrightSpringer Nature Switzerland AG 2018
The information of publication is updating

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Analyzing Survey Data, to use consumer expenditure surveys to illustrate how survey data are collected. We will consider types of measurement and their real-world applications, explore survey research puzzles, obtain strategic insights from survey research, and discuss how to test the quality of data.
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Causal Methods, used to analyze problems by showing the existing patterns of relationships among variables. The confirmation of cause-and-effect relationships is based on the existence of causal evidence. The major components of causal evidence are briefly explained below.
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發(fā)表于 2025-3-22 15:38:00 | 只看該作者
Mobile Data Mining,es integrate numerous functions and allow the converge of numerous forms of media; these features include internet browsing, multimedia, gaming, and many others. Nowadays, researchers can make use of mobile phones to collect a wealth of data and useful information. The data can be in form of call lo
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Synthesis Lectures on Engineering, Science, and Technologyhttp://image.papertrans.cn/d/image/262940.jpg
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Structure of sets with few sumsill study how information derived from customer feedback reaches producers. Exploiting this information is useful to identify market opportunities, define or hone competitive advantages, and navigate market challenges.
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