[内容简介]
An introduction to statistical data mining, Data Analysis and Data Mining is both textbook and professional resource. Assuming only a basic knowledge of statistical reasoning, it presents core concepts in data mining and exploratory statistical models to students and professional statisticians-both those working in communications and those working in a technological or scientific capacity-who have a limited knowledge of data mining.
This book presents key statistical concepts by way of case studies, giving readers the benefit of learning from real problems and real data. Aided by a diverse range of statistical methods and techniques, readers will move from simple problems to complex problems. Through these case studies, authors Adelchi Azzalini and Bruno Scarpa explain exactly how statistical methods work; rather than relying on the "push the button" philosophy, they demonstrate how to use statistical tools to find the best solution to any given problem.
Case studies feature current topics highly relevant to data mining, such web page traffic; the segmentation of
[目次]
Preface
1 Introduction
2 A-B-C
3 Optimism, conflicts and trade-offs
4 Prediction of quantitative variables
5 Methods of classification
6 Methods of internal analysis A Complements of mathematics and statistics B Data-sets C Symbols and acronyms