Principles of Data Mining
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Principles of Data Mining by David J. Hand
Book DescriptionThe growing interest in data mining is motivated by a common problem across disciplines: how does one store, access, model, and ultimately describe and understand very large data sets? Historically, different aspects of data mining have been addressed independently by different disciplines. This is the first truly interdisciplinary text on data mining, blending the contributions of information science, computer science, and statistics. The book consists of three sections. The first, foundations, provides a tutorial overview of the principles underlying data mining algorithms and their application. The presentation emphasizes intuition rather than rigor. The second section, data mining algorithms, shows how algorithms are constructed to solve specific problems in a principled manner. The algorithms covered include trees and rules for classification and regression, association rules, belief networks, classical statistical models, nonlinear models such as neural networks, and local "memory-based" models. The third section shows how all of the preceding analysis fits together when applied to real-world data mining problems. Topics include the role of metadata, how to handle missing data, and data preprocessing.
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Book DetailsISBN: 9780262082907
(229mm x 203mm x 25mm)
Imprint: Bradford Books
Publisher: MIT Press Ltd
Publish Date: 10-Oct-2001
Country of Publication: United States
Books By Author David J. Hand
Measurement: A Very Short Introduction, Paperback (October 2016)
This Very Short Introduction explores the concept of measurement, its mathematical underpinnings, and its wide range of application from the sciences and social sciences to economics and commerce
Wellbeing of Nations, Hardback (September 2014)
What is national wellbeing and what is progress? Why measure these definitions? Why are measures beyond economic performance needed and how will they be used? How do we measure national wellbeing & turn the definitions into observable quantities? Where are we now and where to next? This book deals with these questions.
ROC Curves for Continuous Data, Hardback (April 2009)
Bringing together relevant material to impart a clear understanding of how to analyze ROC curves, this book covers the fundamental theory as well as various special topics. It offers illustrative examples of the major methodological developments and includes as much of the mathematical theory as necessary without making the treatment too dense.
Statistics: A Very Short Introduction, Paperback (October 2008)» View all books by David J. Hand
Statistics has evolved into an exciting discipline which uses deep theory and powerful software to shed light on the world around us: from clinical trials in medicine, to economics, sociology, and countless other subjects vital to understanding modern life. This Very Short Introduction explores and explains how statistics works today.
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