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Principles of Data Mining

statistics. The book consists of three sections. The first, foundations, provides a tutorial overview of the principles underlying data mining;

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Data Mining

This primer on data mining provides an introduction to the principles and techniques for extracting information from a business-minded;

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Advances in Knowledge Discovery and Data Mining

data mining of specialized data; Part II: Classical data mining; data mining theory and principles; recommender systems; and text;

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Advances in Knowledge Discovery and Data Mining

data mining of specialized data; Part II: Classical data mining; data mining theory and principles; recommender systems; and text;

Vergelijkbare producten zoals Advances in Knowledge Discovery and Data Mining

Advances in Knowledge Discovery and Data Mining

data mining of specialized data; Part II: Classical data mining; data mining theory and principles; recommender systems; and text;

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Advanced Text Mining and Applied Principles

This book discusses the topic of advanced text mining and applied principles in detail. Due to the development of computer and web;

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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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Data Mining and Data Warehousing Principles and Practical Techniques

Written in lucid language, this valuable textbook brings together fundamental concepts of data mining and data warehousing in a single;

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Principles of Data Mining

This book explains the principal techniques of data mining: for classification, generation of association rules and clustering. It;

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Machine Learning and Data Mining

who are using the principles of data mining (or KDD) to effectively deliver solid business and industry solutions.;

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Data Mining and Knowledge Discovery for Geoscientists

accessible to geoscientists, engineers, researchers and programmers in data miningIntroduces widely used algorithms, their basic principles;

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Social Media Mining

tool development. Social Media Mining integrates social media, social network analysis, and data mining to provide a coherent platform to;

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Mining Latent Entity Structures

structured, interconnected data. Mining latent structures around entities uncovers hidden knowledge such as implicit topics, phrases, entity roles;

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Mining Structures of Factual Knowledge from Text

to mine structures from massive text data, without extensive human annotation and labeling. In this book, we investigate the principles and;

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Service-Oriented Distributed Knowledge Discovery

key areas in data mining and service-oriented computing. It presents the concepts and principles of distributed knowledge discovery and;

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Service-Oriented Distributed Knowledge Discovery

key areas in data mining and service-oriented computing. It presents the concepts and principles of distributed knowledge discovery and;

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Data Mining and Learning Analytics

, while also defining and discussing data mining s four guiding principles prediction, clustering, rule association, and outlier detection. The;

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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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Human Capital Systems, Analytics, and Data Mining

Human Capital Systems, Analytics, and Data Mining provides human capital professionals, researchers, and students with a comprehensive and;

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Human Capital Systems, Analytics, and Data Mining

Human Capital Systems, Analytics, and Data Mining provides human capital professionals, researchers, and students with a comprehensive and;

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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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Principles of Data Mining

terms used is included. Principles of Data Mining includes descriptions of algorithms for classifying streaming data, both stationary;

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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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Data Privacy

The book covers data privacy in depth with respect to data mining, test data management, synthetic data generation etc. It formalizes;

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Event Mining for Explanatory Modeling

This book introduces the concept of Event Mining for building explanatory models from analyses of correlated data. Such a model may be used;

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