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Data Preparation for Data Mining Dorian Pyle (PTI, Leominster)

Data Preparation for Data Mining By Dorian Pyle (PTI, Leominster)

Data Preparation for Data Mining by Dorian Pyle (PTI, Leominster)


Summary

Addresses the issue of data preparation in data mining, offering both a conceptual overview for managers and technical details for IT professionals. This book includes a CD-ROM containing suite of programs as C source code and compiled into a command-line-driven toolkit.

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Data Preparation for Data Mining Summary

Data Preparation for Data Mining by Dorian Pyle (PTI, Leominster)

Data Preparation for Data Mining addresses an issue unfortunately ignored by most authorities on data mining: data preparation. Thanks largely to its perceived difficulty, data preparation has traditionally taken a backseat to the more alluring question of how best to extract meaningful knowledge. But without adequate preparation of your data, the return on the resources invested in mining is certain to be disappointing. Dorian Pyle corrects this imbalance. A twenty-five-year veteran of what has become the data mining industry, Pyle shares his own successful data preparation methodology, offering both a conceptual overview for managers and complete technical details for IT professionals. Apply his techniques and watch your mining efforts pay off-in the form of improved performance, reduced distortion, and more valuable results. On the enclosed CD-ROM, you'll find a suite of programs as C source code and compiled into a command-line-driven toolkit. This code illustrates how the author's techniques can be applied to arrive at an automated preparation solution that works for you. Also included are demonstration versions of three commercial products that help with data preparation, along with sample data with which you can practice and experiment.

About Dorian Pyle (PTI, Leominster)

Dorian Pyle is Chief Scientist and Founder of PTI (www.pti.com), which develops and markets Powerhouse (TM) predictive and explanatory analytics software. Dorian has over 20 years experience in artificial intelligence and machine learning techniques which are used in what is known today as "data mining" or "predictive analytics". He has applied this knowledge as a consultant with Knowledge Stream Partners, Xchange, Naviant, Thinking Machines, and Data Miners and with various companies directly involved in credit card marketing for banks and with manufacturing companies using industrial automation. In 1976 he was involved in building artificially intelligent machine learning systems utilizing the pioneering technologies that are currently known as neural computing and associative memories. He is current in and familiar with using the most advanced technologies in data mining including: entropic analysis (information theory), chaotic and fractal decomposition, neural technologies, evolution and genetic optimization, algebra evolvers, case-based reasoning, concept induction and other advanced statistical techniques.

Table of Contents

Preface Introduction Chapter 1 Data Exploration As a Process Chapter 2 The Nature of the World and Its Impact on Data Preparation Chapter 3 Data Preparation as a Process Chapter 4 Getting the Data: Basic Preparation Chapter 5 Sampling, Variability and Confidence Chapter 6 Handling Non-Numerical Variables Chapter 7 Normalizing and Redistributing Variables Chapter 8 Replacing Missing and Empty Values Chapter 9 Series Variables Chapter 10 Preparing the Data Set Chapter 11 The Data Survey Chapter 12 Using Prepared Data Appendix A Using the Demonstration Code on the CD Appendix B Further Reading Index

Additional information

CIN1558605290A
9781558605299
1558605290
Data Preparation for Data Mining by Dorian Pyle (PTI, Leominster)
Used - Well Read
Paperback
Elsevier Science & Technology
1999-04-15
560
N/A
Book picture is for illustrative purposes only, actual binding, cover or edition may vary.
This is a used book. We do our best to provide good quality books for you to read, but there is no escaping the fact that it has been owned and read by someone else previously. Therefore it will show signs of wear and may be an ex library book

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