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Data Mining Algorithms is a practical, technically-oriented guide to data mining algorithms that covers the most important algorithms for building... Læs mere
Explores the subjects of biodiversity and data mining. This book demonstrates how to harness the scientific power of biological databases for... Læs mere
Presents the various design variations and applications of micromaps, which link statistical information to an organized set of small maps. This book helps readers to explore the statistical and geographic patterns in their data. It illustrates the three main types of micromaps.
Going beyond current books on privacy and security, Unauthorized Access: The Crisis in Online Privacy and Security proposes specific solutions to public policy issues pertaining to online privacy and security
Temporal data mining deals with the harvesting of useful information from temporal data. This book covers the theory of this subject as well as its application in a variety of... Læs mere
Textual Statistics with R comprehensively covers the main multidimensional methods in textual statistics supported by a specially-written package in R. Of interest to anyone... Læs mere
The third edition of a bestseller, Statistical and Machine-Learning Data Mining: Techniques for Better Predictive Modeling and Analysis of Big Data is still the only book, to date, to distinguish between statistical data mining and machine-learning data mining.
This book will provide an integrated approach by combining data quality and process quality approaches for ensuring robust quality. When the two concepts are combined, industry can achieve rapid improvements with accurate results and decisions.