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The growing importance of data science, and the increasing role of information professionals in the management and use of data, are brought together... Læs mere
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
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
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
The leading introductory book on data mining, fully updated and revised! When Berry and Linoff wrote the first edition... Læs mere
This book introduces a visual methodology for data mining demonstrating the application of methodology along with a sequence of exercises using VisMiner.... Læs mere
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.
Text Mining: Applications and Theory presents the state-of-the-art algorithms for text mining from both the academic and industrial perspectives.
A comprehensive introduction to statistical methods for data mining and knowledge discovery.
* Provides a detailed and up-to-date overview on classification and data mining methods. * Focuses on supervised classification algorithms and their applications, including recent research on the combination of classifiers.