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We are deluged by data, scientific data, medical data, demographic data, financial data, band marketing data. People have no time to look at this data and it therefore gets forgotten with time hence the term 'dark data'. Human attention has become the precious resource. So, we must find ways to automatically analyze the data, to automatically classify it, to automatically summarize it, to automatically discover and characterize trends in it, and to automatically flag anomalies. This is one of the most active and exciting areas of the database research community. Researchers in areas including statistics, visualization, artificial intelligence, and machine learning are contributing to this field of dark data. The breadth of the field makes it difficult to grasp the extraordinary progress over the last few decades. The book gives quick introductions to dark data, big data and data mining concepts with particular emphasis on data analysis. It then covers in a chapter-by-chapter tour the concepts and techniques that underlie classification, prediction, association, and clustering.
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Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.