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Data Preprocessing in Data Mining

Data Preprocessing for Data Mining addresses one of the most important issues within the well-known Knowledge Discovery from Data process;

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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

This comprehensive textbook on data mining details the unique steps of the knowledge discovery process that prescribes the sequence;

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Data Mining

This comprehensive textbook on data mining details the unique steps of the knowledge discovery process that prescribes the sequence;

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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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Principles of Data Mining

The first truly interdisciplinary text on data mining, blending the contributions of information science, computer science, and statistics;

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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 Concepts & Techniques

Data Mining: Concepts and Techniques provides the concepts and techniques in processing gathered data or information, which will be;

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Big Data Preprocessing: Enabling Smart Data

This book offers a comprehensible overview of Big Data Preprocessing, which includes a formal description of each problem. It also;

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Big Data Preprocessing

This book offers a comprehensible overview of Big Data Preprocessing, which includes a formal description of each problem. It also;

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Spatial Data Mining

edition in 2006 and the second in 2013). It offers a systematic and practical overview of spatial data mining, which combines computer science;

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Biological Knowledge Discovery Handbook

comprehensive overview of data mining, preprocessing, postprocessing, and storage for biological data. It surveys the latest approaches and techniques;

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Solving Large Scale Learning Tasks. Challenges and Algorithms

theoreticians and practitioners on data preprocessing, modeling, learning, and evaluation. Topics include data-mining and machine-learning algorithms;

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Text Mining

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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Mining User Navigation Patterns from Web Access Log Files

of people. Web Mining aims to discover the informative knowledge or information from massive data sources available on the Web by using data mining;

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Handbook of Research on Data Preprocessing, Active Learning, and Cost Perceptive Approaches for Resolving Data Imbalance

Over the last two decades, researchers are looking at imbalanced data learning as a prominent research area. Many critical real-world;

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Genome Data Analysis

This textbook describes recent advances in genomics and bioinformatics and provides numerous examples of genome data analysis that;

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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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Quantitative Medical Data Analysis Using Mathematical Tools And Statistical Techniques

biomedical sciences. Topics include mathematical models for cancer invasion and clinical sciences, data mining techniques and subset selection;

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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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Analysis of Microarray Data: A Network-Based Approach

Functional Modules Using Microarray and Protein Interaction Data* Integrating Results from Literature Mining and Microarray Experiments to Infer Gene;

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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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Machine Learning and Knowledge Discovery in Databases

; data preprocessing; data streams and online learning; deep learning; distance and metric learning; large scale learning and big data; matrix;

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Machine Learning and Knowledge Discovery in Databases

; data preprocessing; data streams and online learning; deep learning; distance and metric learning; large scale learning and big data; matrix;

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Machine Learning and Knowledge Discovery in Databases

learning; data preprocessing; data streams and online learning; deep learning; distance and metric learning; large scale learning and big data;

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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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