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Descriptive Data Mining

This book provides an overview of data mining methods demonstrated by software. Knowledge management involves application of human;

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Learn R for Applied Statistics

data mining. This book covers topics ranging from R syntax basics, descriptive statistics, and data visualizations to inferential statistics;

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Predictive Data Mining Models

classification modeling. Prescriptive analytics applies quantitative models to optimize systems, or at least to identify improved systems. Data mining;

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Supervised Descriptive Pattern Mining

This book provides a general and comprehensible overview of supervised descriptive pattern mining, considering classic algorithms and those;

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Foundations of Computational Intelligence 04

Foundations of Computational Intelligence Volume 4: Bio-Inspired Data Mining Theoretical Foundations and Applications Recent advances;

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Advanced Data Mining and Applications

This book constitutes the proceedings of the 12th International Conference on Advanced Data Mining and Applications, ADMA 2016, held;

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Advances on Data Mining: Applications and Theoretical Aspects

This book constitutes the refereed proceedings of the 11th Industrial Conference on Data Mining, ICDM 2011, held in New York, USA;

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Elementary Statistics

-squared test, correlation, factor analysis, regression analysis, etc. Statistics is applied in the fields of machine learning, data mining;

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Data Mining

This book, Data Mining: The Data Mining Guide for Beginners, Including Applications for Business, Data Mining Techniques, Concepts, and;

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Data Mining with Microsoft SQL Server 2008

Understand how to use the new features of Microsoft SQL Server 2008 for data mining by using the tools in Data Mining with Microsoft SQL;

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Cube Based Incremental Data Mining

This work presents a cube-based approach for incremental data mining that operates on the data, rather than on the data mining algorithms;

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Data Mining with Rattle and R: The Art of Excavating Data for Knowledge Discovery

Data mining is the art and science of intelligent data analysis. By building knowledge from information, data mining adds considerable;

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Data Mining

knowledge from these data falls far behind our pace of collecting the data. Data Mining: Theories, Algorithms, and Examples introduces and explains;

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Data Mining

knowledge from these data falls far behind our pace of collecting the data. Data Mining: Theories, Algorithms, and Examples introduces and explains;

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Business Analytics, Volume II

, data mining, and an introduction to recent applications of predictive analytics-machine learning, neural networks, and artificial intelligence;

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Data Mining

Data Mining: Concepts and Techniques, Fourth Edition introduces concepts, principles, and methods for mining patterns, knowledge;

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Social Big Data Mining

This book focuses on the basic concepts and the related technologies of data mining for social medial. Topics include: big data and social;

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Social Big Data Mining

This book focuses on the basic concepts and the related technologies of data mining for social medial. Topics include: big data and social;

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Advances in Knowledge Discovery and Data Mining

Knowledge Discovery and Data Mining, PAKDD 2019, held in Macau, China, in April 2019. The 137 full papers presented were carefully reviewed;

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Advances in Knowledge Discovery and Data Mining

Knowledge Discovery and Data Mining, PAKDD 2019, held in Macau, China, in April 2019. The 137 full papers presented were carefully reviewed;

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Advances in Knowledge Discovery and Data Mining

Knowledge Discovery and Data Mining, PAKDD 2019, held in Macau, China, in April 2019. The 137 full papers presented were carefully reviewed;

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Advanced Data Mining and Applications

mining, behavior mining, data stream mining, sequential data mining, web mining, image mining, text mining, social network mining, classification;

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Data Mining

Data Mining is a compendium of articles and papers that were presented at DMIN '14, an international conference that serves researchers;

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Data Mining

Data Mining deals with discovering hidden knowlege, unexpected patterns.It is currently regarded as the key element of a much more involved;

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Advances in Knowledge Discovery and Data Mining

Discovery and Data Mining, PAKDD 2020, which was due to be held in Singapore, in May 2020. The conference was held virtually due to the COVID-19;

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