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This book discusses text mining and different ways this type of data mining can be used to find implicit knowledge from text collections. It then goes into more advanced topics including text summarization, text segmentation, topic mapping, and automatic text management.
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This book approaches big data, artificial intelligence, machine learning, and business intelligence through the lens of Data Science.
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This book highlights the state of the art and recent advances in Big Data clustering methods and their innovative applications in contemporary AI-driven systems.
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This book describes efforts to improve subject-independent automated classification techniques using a better feature extraction method and a more efficient model of classification.
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Further, the book shows new directions for cooperation between science and industry and facilitates efficient transfer of knowledge in the area of intelligent information systems.
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This book is a comprehensive introduction to the methods and algorithms of modern data analytics. It provides a sound mathematical... Læs mere
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This book systematically analyses the latest insights into night vision imaging processing and perceptual understanding as well as related theories and methods.
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This book provides a comprehensive introduction to rough set-based feature selection. The dominance-based rough set approach (DRSA) is an extension of the conventional rough set approach and supports the preference order using the dominance principle.
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The new edition of this textbook presents a practical, updated approach to predictive analytics for classroom learning. The authors focus on using... Læs mere