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A step-by-step guide to data mining applications in CRM. Following a handbook approach, this book bridges the gap between analytics and their use in... Læs mere
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A reliable, cost-effective approach to extracting priceless business information from all sources of text Excavating actionable business insights from data is a... Læs mere
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Harness the power of social media to predict customer behavior and improve sales Social media is the biggest source of Big Data. Because of this, 90% of Fortune... Læs mere
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The leading introductory book on data mining, fully updated and revised! When Berry and Linoff wrote the first edition... Læs mere
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Written by one of the leading experts on predictive analytics, Applied Predictive Analytics shows tech-savvy business managers and data analysts how to use the sophisticated techniques of predictive analytics that mine Big Data to solve practical business problems.
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This book introduces a visual methodology for data mining demonstrating the application of methodology along with a sequence of exercises using VisMiner.... Læs mere
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To aid in intelligent data mining, this book introduces a new family of unsupervised algorithms that have a basis in self-organization, yet are free from many of the constraints typical of other well known self-organizing architectures.
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Text Mining: Applications and Theory presents the state-of-the-art algorithms for text mining from both the academic and industrial perspectives.