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Data Mining Methods for the Content Analyst

Leetaru introduces the approaches, strategies, and methodologies of current data mining techniques, offering insights for new and experienced;

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Data Mining Methods for the Content Analyst

Leetaru introduces the approaches, strategies, and methodologies of current data mining techniques, offering insights for new and experienced;

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Data Mining The Web

This book introduces the reader to methods of data mining on the web, including uncovering patterns in web content (classification;

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Java Data Mining: Strategy, Standard, and Practice

; impact of data mining on IT infrastructure; a how-to guide for building applications that use the JDM APIFree, downloadable KJDM source;

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Mining Text Data

designed such as transfer learning and cross-lingual mining for such cases. Mining Text Data simplifies the content, so that advanced-level;

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Mining Text Data

designed such as transfer learning and cross-lingual mining for such cases. Mining Text Data simplifies the content, so that advanced-level;

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Data Mining

, and scalability of data mining techniques for large data sets. After an introduction to the concept of data mining, the authors;

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Data Mining & Predictive Analytics

apply a unified white box approach to data mining methods and models. This approach is designed to walk readers through the operations and;

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Data Mining Methods for Knowledge Discovery

Data Mining Methods for Knowledge Discovery provides an introduction to the data mining methods that are frequently used in the process;

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Social Media Mining

understand the basics and potentials of social media mining. It introduces the unique problems arising from social media data and presents;

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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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Mastering Data Mining with Python - Find patterns hidden in your data

more advanced techniques in data mining in order to become a data mining expert, this is the book for you! What You Will Learn * Explore;

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Data Mining Concepts & Techniques

involved in mining frequent patterns, associations, and correlations for large data sets are described. The book details the methods for data;

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Data Mining for Bioinformatics Applications

Data Mining for Bioinformatics Applications provides valuable information on the data mining methods have been widely used for solving;

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Data Mining

through the tutorials depicting the knowledge discovery process. This allows the reader maximum flexibility for their hands-on data mining;

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Semi-Supervised and Unsupervised Machine Learning

This book provides a detailed and up-to-date overview on classification and data mining methods. The first part is focused on supervised;

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Data Analytics: Models and Algorithms for Intelligent Data Analysis

applications. This book has been used for more than ten years in the Data Mining course at the Technical University of Munich. Much of the content;

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Web Data Mining

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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Machine Learning and Data Mining in Pattern Recognition

specific data mining methods for the different multimedia data types such as image mining, text mining, video mining and web mining.;

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Machine Learning and Data Mining in Pattern Recognition

classification, clustering, association rule and pattern mining to specific data mining methods for the different multimedia data types such as image;

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Machine Learning and Data Mining in Pattern Recognition

data mining methods for the different multi-media data types such as image mining, text mining, video mining, and Web mining.;

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Machine Learning and Data Mining in Pattern Recognition

169 submissions. The topics range from theoretical topics for classification, clustering, association rule and pattern mining to specific data;

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Machine Learning and Data Mining in Pattern Recognition

. The topics range from theoretical topics for classification, clustering, association rule and pattern mining to specific data mining methods;

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Python for Data Mining Quick Syntax Reference

objects, lists, functions, modules, and error handling. The second part covers Python's most important data mining packages: NumPy and SciPy for;

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Data Analytics

applications. This book has been used for more than ten years in the Data Mining course at the Technical University of Munich. Much of the content;

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Biodata Mining And Visualization

There is a lack of an exposition on interdisciplinary and innovative methods of data mining and visualization for biodata. This book fills;

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A Practical Guide to Data Mining for Business and Industry

. Practical Data Mining for Business presents a user-friendly approach to data mining methods, covering the typical uses to which it is applied. The;

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