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skills for building text-mining apps with R with this easy-to-follow guide * Gain in-depth understanding of the text mining process with lucid;
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Text Mining with MATLAB (R) provides a comprehensive introduction to text mining using MATLAB. It is designed to help text mining;
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riches buried within all forms of text using R. Author Ted Kwartler clearly describes all of the tools needed to perform text mining and shows;
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Text Mining with MATLAB provides a comprehensive introduction to text mining using MATLAB. It's designed to help text mining practitioners;
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R and Data Mining introduces researchers, post-graduate students, and analysts to data mining using R, a free software environment for;
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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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This book provides a comprehensive text on Web data mining. Key topics of structure mining, content mining, and usage mining are covered;
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Discover Novel and Insightful Knowledge from Data Represented as a GraphPractical Graph Mining with R presents a do-it-yourself approach;
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Provides readers with the methods, algorithms, and means to perform text mining tasks This book is devoted to the fundamentals of text;
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and powerful open-source tools: KNIME, RapidMiner, Weka, R, and Python. The contributors-all highly experienced with text mining and;
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and powerful open-source tools: KNIME, RapidMiner, Weka, R, and Python. The contributors-all highly experienced with text mining and open;
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and analytical tools. Data Mining and Business Analytics with R utilizes the open source software R for the analysis, exploration, and;
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are a budding data scientist, or a data analyst with a basic knowledge of R, and want to get into the intricacies of data mining in a;
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Liu has written a comprehensive text on Web mining, which consists of two parts. The first part covers the data mining and machine learning;
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text which deals with the assessment and control of these conditions, providing a source of ready reference for engineers and advanced students;
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a comprehensive text on the subject area. The focus is on the application of theory to practice and the book is richly illustrated with;
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a comprehensive text on the subject area. The focus is on the application of theory to practice and the book is richly illustrated with;
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Data Mining with R: Learning with Case Studies, Second Edition uses practical examples to illustrate the power of R and data mining;
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Data Mining with R: Learning with Case Studies, Second Edition uses practical examples to illustrate the power of R and data mining;
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later Uses Excel and R for datasets in case studies and exercises Features the CRISP-DM data mining standard with early chapters for;
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mining systems using GPSS/H (R) and PROOF (R) by Wolverine Software Corporation. Employing a unique approach that encourages engagement from the;
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mining systems using GPSS/H (R) and PROOF (R) by Wolverine Software Corporation. Employing a unique approach that encourages engagement from the;
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data mining project using software easily installed for free from the Internet. Coupling Rattle with R delivers a very sophisticated data;
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A hands on guide to web scraping and text mining for both beginners and experienced users of R * Introduces fundamental concepts of the;
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Desktop integrates popular data mining tools, giving students a valuable familiarity with industry-standard applications. After defining the;
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Bayesian networks; text mining; prediction in clinical practice; and knowledge representation and guidelines.;
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