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Titlebook: Descriptive Data Mining; David L. Olson,Georg Lauhoff Book 2019Latest edition Springer Nature Singapore Pte Ltd. 2019 Descriptive Data Min

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发表于 2025-3-21 18:20:31 | 显示全部楼层 |阅读模式
书目名称Descriptive Data Mining
编辑David L. Olson,Georg Lauhoff
视频video
概述Provides a comprehensive overview of knowledge management, big data, and basic descriptive data mining methods and software.Illustrates concepts with typical data.Demonstrates readily available open s
丛书名称Computational Risk Management
图书封面Titlebook: Descriptive Data Mining;  David L. Olson,Georg Lauhoff Book 2019Latest edition Springer Nature Singapore Pte Ltd. 2019 Descriptive Data Min
描述This book provides an overview of data mining methods demonstrated by software. Knowledge management involves application of human knowledge (epistemology) with the technological advances of our current society (computer systems) and big data, both in terms of collecting data and in analyzing it. We see three types of analytic tools.  Descriptive analytics focus on reports of what has happened.  Predictive analytics extend statistical and/or artificial intelligence to provide forecasting capability.  It also includes classification modeling.  Diagnostic analytics can apply analysis to sensor input to direct control systems automatically.  Prescriptive analytics applies quantitative models to optimize systems, or at least to identify improved systems.  Data mining includes descriptive and predictive modeling.  Operations research includes all three.  This book focuses on descriptive analytics..The book seeks to provide simple explanations and demonstration of some descriptive tools.  This second edition provides more examples of big data impact, updates the content on visualization, clarifies some points, and expands coverage of association rules and cluster analysis.  Chapter 1 giv
出版日期Book 2019Latest edition
关键词Descriptive Data Mining; Cluster Analysis; Association rules; Data visualization; Market basket analysis
版次2
doihttps://doi.org/10.1007/978-981-13-7181-3
isbn_ebook978-981-13-7181-3Series ISSN 2191-1436 Series E-ISSN 2191-1444
issn_series 2191-1436
copyrightSpringer Nature Singapore Pte Ltd. 2019
The information of publication is updating

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Link Analysis,ted by link analysis of customer selections. Clickstream analysis provides Web business sites with the ability to predict where customers are going, potentially allowing systems to interact with these customers to increase the probability of their purchasing the vendor’s goods.
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Parallel Machine Models (Deterministic)asily understood and described knowledge that can be used (.). One of the original applications of data mining to generate interesting knowledge for business was market basket analysis (Agrawal et al. in IEEE Transactions on Knowledge and Data Engineering 5(6): 914–925, 1995).
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https://doi.org/10.1007/978-3-662-03217-6ontext of analytics in the overall framework of information management. It begins reviewing computer information systems, a source of much data of importance, and its storage and retrieval to aid decision making.
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Market Basket Analysis,asily understood and described knowledge that can be used (.). One of the original applications of data mining to generate interesting knowledge for business was market basket analysis (Agrawal et al. in IEEE Transactions on Knowledge and Data Engineering 5(6): 914–925, 1995).
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Descriptive Data Mining,ontext of analytics in the overall framework of information management. It begins reviewing computer information systems, a source of much data of importance, and its storage and retrieval to aid decision making.
发表于 2025-3-23 08:24:45 | 显示全部楼层
Single Machine Models (Deterministic)n be guided by GPS, using advanced genetics for seeds, fertilizers, and plant disease control, much as Wal-Mart monitors their inventories at a micro-level and banks optimize their marketing materials. Heaven only knows what governments around the world are doing to keep us safe, or conversely, to put us at risk.
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