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Detect fraud earlier to mitigate loss and prevent cascading damage Fraud Analytics Using Descriptive, Predictive, and Social Network Techniques is an authoritative guidebook for setting up a comprehensive fraud detection analytics solution.
Bemærk: Kan ikke leveres før jul.
Bemærk: Kan ikke leveres før jul.
Bemærk: Kan ikke leveres før jul.
Bemærk: Kan ikke leveres før jul.
Bemærk: Kan ikke leveres før jul.
This book offers a selection of the best papers presented at the 13th International Symposium on Location Based Services (LBS 2016), which was held in Vienna (Austria) from November 14 to 16, 2016.
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Statistics, Data Mining, and Machine Learning in Astronomy is the... Læs mere
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Provides a self-contained introduction to learning relational, probabilistic and possibilistic networks from data All basic... Læs mere
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Learn methods of data analysis and their application to real-world data sets This updated second edition serves as an introduction to data mining methods and models, including association rules, clustering, neural networks, logistic regression, and multivariate analysis.
Bemærk: Kan leveres før jul.
A practical guide to making good decisions in a world of missing dataIn the era of big data, it is easy to imagine that we have all the information we need to... Læs mere
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The book provides explanations of principles of time-proven machine learning algorithms applied in text mining together with step-by-step... Læs mere
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