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Introduction to Algorithms for Data Mining and Machine Learning

Introduction to Algorithms for Data Mining and Machine Learning introduces the essential ideas behind all key algorithms and techniques;

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Data Mining and Machine Learning

The fundamental algorithms in data mining and machine learning form the basis of data science, utilizing automated methods to analyze;

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Metalearning

knowledge concerning the performance of machine learning and data mining algorithms. It shows how this knowledge can be reused to select, combine;

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Machine Learning and Data Mining

an introduction to the main issues associated with the basics of machine learning and the algorithms used in data mining. Suitable for;

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Introduction to Data Mining

Introduction to Data Mining presents fundamental concepts and algorithms for those learning data mining for the first time. Each major;

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Machine Learning Theoretical Foundations and Practical Applications

navigation and mining, learning through mobile data mining, text and multimedia mining through machine learning, distributed and parallel learning;

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Web Data Mining: Exploring Hyperlinks, Contents, and Usage Data

learning text and as a reference book. Professors can readily use it for classes on data mining, Web mining, and text mining. Additional teaching;

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Data Mining

be useful for professors and students of upper-level undergraduate and graduate-level data mining and machine learning courses who want to;

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Nature-Inspired Computation in Data Mining and Machine Learning

mining and machine learning. Data mining, machine learning and nature-inspired computation are current hot research topics due to their;

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Nature-Inspired Computation in Data Mining and Machine Learning

mining and machine learning. Data mining, machine learning and nature-inspired computation are current hot research topics due to their;

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5th International Symposium on Data Mining Applications

The 5th Symposium on Data Mining Applications (SDMA 2018) provides valuable opportunities for technical collaboration among data mining and;

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Introduction to Data Mining, Global Edition

Introduction to Data Mining presents fundamental concepts and algorithms for those learning data mining for the first time. Each concept;

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Statistical Reinforcement Learning

is ideal for decision making in unknown environments with large amounts of data. Supplying an up-to-date and accessible introduction to the;

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Statistical Reinforcement Learning

is ideal for decision making in unknown environments with large amounts of data. Supplying an up-to-date and accessible introduction to the;

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Broad Learning Through Fusions

This book offers a clear and comprehensive introduction to broad learning, one of the novel learning problems studied in data mining and;

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Broad Learning Through Fusions

This book offers a clear and comprehensive introduction to broad learning, one of the novel learning problems studied in data mining and;

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Pattern Recognition Algorithms for Data Mining

computing in soft frameworks. Organized into eight chapters, the book begins with an introduction to PR, data mining, and knowledge discovery;

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Pattern Recognition Algorithms for Data Mining

computing in soft frameworks. Organized into eight chapters, the book begins with an introduction to PR, data mining, and knowledge discovery;

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Text Mining with Machine Learning

. By analysing various data sets, conclusions which are not normally evident, emerge and can be used for various purposes and applications. The;

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Text Mining with Machine Learning

. By analysing various data sets, conclusions which are not normally evident, emerge and can be used for various purposes and applications. The;

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Machine Learning for Data Mining

Get efficient in performing data mining and machine learning using IBM SPSS Modeler Key Features Learn how to apply machine learning;

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Machine Learning with PySpark

features with PySpark to train the machine learning models. The natural language processing section covers text processing, text mining, and;

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Metric Learning

recognition and data mining methods. This book is devoted to metric learning, a set of techniques to automatically learn similarity and distance;

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Metalearning: Applications to Automated Machine Learning and Data Mining

This open access book offers a comprehensive and thorough introduction to almost all aspects of metalearning and automated machine learning;

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Data Mining and Machine Learning in Cybersecurity

With the rapid advancement of information discovery techniques, machine learning and data mining continue to play a significant role;

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Intelligent Learning Systems

recommendation, intelligent interaction support for e-learning, data mining for instructional design, learning and assessment, students' access patterns;

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