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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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Machine Learning for Text

mining: Chapters 8 and 9 discuss the learning methods from text when combined with different domains such as multimedia and the Web. The problem;

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Machine Learning for Text

mining: Chapters 8 and 9 discuss the learning methods from text when combined with different domains such as multimedia and the Web. The problem;

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Text Mining

Text Mining: Applications and Theory presents thestate-of-the-art algorithms for text mining from both the academicand industrial;

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

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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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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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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5th International Symposium on Data Mining Applications

databases, social networks, web, bioinformatics, finance, healthcare, and security.* Algorithms: Data mining and machine learning foundations;

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Mastering Machine Learning with Python in Six Steps

learning development and frameworks Assess model diagnosis and tuning in machine learning Examine text mining, natuarl language processing (NLP;

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Mastering Machine Learning with Python in Six Steps

reduction technique for IoT data. Finally, yoüll review advanced text mining techniques, recommender systems, neural networks, deep 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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Ensemble Classification Methods with Applications in R

students of data mining and machine learning, Ensemble Classification Methods with Applications in R puts the focus on two topics in machine;

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Advanced Data Mining and Applications

submissions. The papers were organized in topical sections named: Machine Learning; Text Mining; Graph Mining; Predictive Analytics; Recommender;

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Machine Learning with Python: The Ultimate Guide to Learn Machine Learning Algorithms. Includes a Useful Section about Analysis, Data Mining and Art

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Advanced Data Mining and Applications

analysis; spatio-temporal data; natural language processing and text mining; data mining applications; applications; and demos.;

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Text Mining with Machine Learning

book provides explanations of principles of time-proven machine learning algorithms applied in text mining together with step-by-step;

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Text Mining with Machine Learning

book provides explanations of principles of time-proven machine learning algorithms applied in text mining together with step-by-step;

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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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Intelligent Learning Systems

, machine learning is only directed to create software that can learn from past experiences. Machine learning is much closer to the data mining;

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Statistical Language and Speech Processing

methods, text extraction and categorization, and mining text.;

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Data Mining

Data Mining: Practical Machine Learning Tools and Techniques, Fourth Edition, offers a thorough grounding in machine learning concepts;

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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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