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This book explores the main concepts, algorithms, and techniques of Machine Learning and data mining for aerospace technology. Satellites;
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in Bangkok, Thailand. The book is divided into the two main parts Data Mining and Machine Learning as well as Data Network and Communications;
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Data Mining: Practical Machine Learning Tools and Techniques, Third Edition, offers a thorough grounding in machine learning concepts;
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many themes including artificial intelligence and data mining applications, machine learning and applications, deep learning technology for;
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With the rapid advancement of information discovery techniques, machine learning and data mining continue to play a significant role;
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implications. It could change the face of data mining and machine learning, as well as constraint programming technology. It would not only allow one;
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. Section 4 focuses on human learning assisted by intelligent systems, describing application of data-mining technology on e-learning material;
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This book explores the concepts of data mining and data warehousing, a promising and flourishing frontier in database systems, and presents;
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This book constitutes the refereed proceedings of the 7th International Conference on Machine Learning and Data Mining in Pattern;
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This book constitutes the refereed proceedings of the 13th International Conference on Machine Learning and Data Mining in Pattern;
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This book constitutes the refereed proceedings of the 12th International Conference on Machine Learning and Data Mining in Pattern;
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This book constitutes the refereed proceedings of the 9th International Conference on Machine Learning and Data Mining in Pattern;
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This book constitutes the refereed proceedings of the 11th International Conference on Machine Learning and Data Mining in Pattern;
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intelligence, machine learning, data mining and big data computing, cloud computing, Internet of things, distributed computing and smart systems.;
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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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The fundamental algorithms in data mining and machine learning form the basis of data science, utilizing automated methods to analyze;
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Data, Data Mining, and Machine Learning provides technology and marketing executives with the complete resource that has been notably absent;
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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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learning, deep learning, fuzzy logic, natural language processing, human-machine interaction, big data mining, data science and mining;
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and Data Mining in Pattern Recognition, MLDM 2018, held in New York, NY, USA in July 2018. The 92 regular papers presented in this two;
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: prediction; data mining; information retrieval; game playing; robotics; learning methods; pattern visualization; automated knowledge acquisition;
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navigation and mining, learning through mobile data mining, text and multimedia mining through machine learning, distributed and parallel learning;
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analysis.* An excellent way to introduce students to especially vital applications of data mining and machine learning technology.;
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This book constitutes the refereed proceedings of the 13th International Conference on Advanced Data Mining and Applications, ADMA 2017;
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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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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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databases, social networks, web, bioinformatics, finance, healthcare, and security.* Algorithms: Data mining and machine learning foundations;
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