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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: Concepts and Techniques provides the concepts and techniques in processing gathered data or information, which will be;
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Data Mining: Concepts and Techniques, Fourth Edition introduces concepts, principles, and methods for mining patterns, knowledge;
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processing, social big data applications, and scalability. It explains analytical techniques such as modeling, data mining, and multivariate analysis;
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processing, social big data applications, and scalability. It explains analytical techniques such as modeling, data mining, and multivariate analysis;
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This book offers a much needed critical introduction to data mining and 'big data'. Supported by multiple case studies and examples, the;
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Handbook of Data Mining presents comprehensive coverage of data mining concepts and techniques. Algorithms, methodologies, management issues, and;
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Handbook of Data Mining presents comprehensive coverage of data mining concepts and techniques. Algorithms, methodologies, management issues, and;
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accessible to researchers and developers in data mining and other fields. The book not only presents concepts and techniques for contrast data mining;
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This primer on data mining provides an introduction to the principles and techniques for extracting information from a business-minded;
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biomedical applications. This volume examines the concepts, problems, progress, and trends in developing and applying new data mining techniques;
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biomedical applications. This volume examines the concepts, problems, progress, and trends in developing and applying new data mining techniques;
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Data Mining for Business Analytics: Concepts, Techniques, and Applications in R presents an applied approach to data mining concepts and;
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Data mining provides a set of new techniques to integrate, synthesize, and analyze tdata, uncovering the hidden patterns that exist within;
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Thorough in its coverage from basic to advanced topics, this book presents the key algorithms and techniques used in data mining. An;
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Data Mining for Business Analytics: Concepts, Techniques, and Applications with JMP Pro(R) presents an applied and interactive approach to;
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unmanageable volumes of data by exploiting data mining and machine learning distributed models and techniques in service-oriented infrastructures;
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unmanageable volumes of data by exploiting data mining and machine learning distributed models and techniques in service-oriented infrastructures;
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This book provides an introduction to data science and offers a practical overview of the concepts and techniques that readers need to get;
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Data Mining: Practical Machine Learning Tools and Techniques, Third Edition, offers a thorough grounding in machine learning concepts;
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This book discusses text mining and different ways this type of data mining can be used to find implicit knowledge from text collections;
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enhanced understanding of this cross-disciplinary field. The book offers authoritative coverage of data mining techniques, technologies, and;
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enhanced understanding of this cross-disciplinary field. The book offers authoritative coverage of data mining techniques, technologies, and;
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Written in lucid language, this valuable textbook brings together fundamental concepts of data mining and data warehousing in a single;
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With the rapid advancement of information discovery techniques, machine learning and data mining continue to play a significant role;
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Mine valuable insights from your data using popular tools and techniques in R About This Book * Understand the basics of data mining;
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, techniques, tools, and metrics; the role and management of data; text and web mining; sentiment analysis; and Big Data integration. Throughout;
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