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Principles and Theory for Data Mining and Machine Learning

Extensive treatment of the most up-to-date topics Provides the theory and concepts behind popular and emerging methods Range of topics;

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Machine Learning and Data Mining in Pattern Recognition

This book constitutes the refereed proceedings of the 7th International Conference on Machine Learning and Data Mining in Pattern;

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

blend of theory and practice. It is suitable for students, researchers and practitioners interested in Web mining and data mining both as a;

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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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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 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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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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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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Machine Learning and Data Mining in Pattern Recognition

This book constitutes the refereed proceedings of the 13th International Conference on Machine Learning and Data Mining in Pattern;

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Machine Learning and Data Mining in Pattern Recognition

This book constitutes the refereed proceedings of the 9th International Conference on Machine Learning and Data Mining in Pattern;

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Machine Learning and Data Mining in Pattern Recognition

This book constitutes the refereed proceedings of the 12th International Conference on Machine Learning and Data Mining in Pattern;

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Machine Learning and Data Mining in Pattern Recognition

This book constitutes the refereed proceedings of the 11th International Conference on Machine Learning and Data Mining in Pattern;

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Statistical and Machine Learning Approaches for Network Analysis

methods to analyze networks statistically. Methods from machine learning, data mining, and information theory are strongly emphasized throughout;

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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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Web Data Mining

. The book brings together all the essential concepts and algorithms from related areas such as data mining, machine learning, and text;

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Machine Learning and Data Mining in Pattern Recognition

, association rule and pattern mining to specific data mining methods for the different multi-media data types such as image mining, text mining, video;

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Metalearning

learning and data mining processes. While the variety of machine learning and data mining techniques now available can, in principle, provide good;

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Uncertainty Modeling for Data Mining

Machine learning and data mining are inseparably connected with uncertainty. The observable data for learning is usually imprecise;

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Machine Learning and Big Data Analytics Paradigms

many themes including artificial intelligence and data mining applications, machine learning and applications, deep learning technology for;

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Applied Machine Learning

inference systems*Data clustering*Data transformations*Decision tree learning*Business intelligence*Data mining*And much more;

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Data Mining and Statistics for Decision Making

statistics, machine learning and information theory; it is the ideal tool for such an extraction of knowledge. Data mining is usually associated with;

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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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Logical and Relational Learning

-contained and easily accessible for graduate students and practitioners of data mining and machine learning.;

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