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????Describing novel mathematical concepts for recommendation engines, Realtime Data Mining: Self-Learning Techniques for... Læs mere
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This book reports on cutting-edge research carried out within the context of the EU-funded Dicode project, which aims at facilitating and augmenting collaboration and decision making in data-intensive and cognitively complex settings.
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This book provides a timely and unique survey of next-generation social computational methodologies. discusses the prediction and recognition of human attributes via social media analytics, including social relationships, facial age and beauty, and occupation.
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This book comprises a set of articles that specify the methodology of text mining, describe the creation of lexical resources in the framework of text mining and use text mining for various tasks in natural language processing (NLP).
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The topics cover generating realistic social network topologies, awareness of user activities, topic and trend generation, estimation of user attributes... Læs mere
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This book presents a comprehensive report on the evolution of Fuzzy Logic since its formulation in Lotfi Zadeh’s seminal paper on “fuzzy sets,” published in 1965.
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This edited volume, contributed by prominent researchers in this field, presents a wide selection of topics on social network data mining such as Structural Properties of... Læs mere
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Data mining essentially relies on several mathematical disciplines, many of which are presented in this second edition of this... Læs mere
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Discovering, managing, and interpreting knowledge of new biomarkers are challenging and attractive problems in the emerging field of biomedical informatics.This... Læs mere
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Learning Analytics
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Urban congestion is a growing and seemingly intractable problem. This award-winning paper interweaves traffic data collection with data mining and operations research techniques to quantify the value of dynamic and time-sensitive information in city logistics.