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Increase profits and reduce costs by utilizing this collection of models of the most commonly asked data mining questionsIn order to find new ways to improve customer sales and support, and aswell as manage risk, business managers must be able to mine companydatabases. This book provides a step-by-step guide to creating andimplementing models of the most commonly asked data mining questions.Readers will learn how to prepare data to mine, and develop accuratedata mining questions. The author, who has over ten years of datamining experience, also provides actual tested models of specific datamining questions for marketing, sales, customer service and retention,and risk management.

Statistical pattern recognition is a very active area of study and research, which has seen many advances in recent years. New and emerging applications – such as data mining, web searching, multimedia data retrieval, face recognition, and cursive handwriting recognition – require robust and efficient pattern recognition techniques.

Knowledge-based Resource Management for Multifunction Radar.PDF 电子书

This text provides the reader with a single book where they can find accounts of a number of up-to-date issues in nonparametric inference. The book is aimed at Masters or PhD level students in statistics, computer science, and engineering. It is also suitable for researchers who want to get up to speed quickly on modern nonparametric methods. It covers a wide range of topics including the bootstrap, the nonparametric delta method, nonparametric regression, density estimation, orthogonal function methods, minimax estimation, nonparametric confidence sets, and wavelets. The book’s dual approach includes a mixture of methodology and theory.