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Data Preparation for Data Mining




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Dettagli

Genere:Libro
Lingua: Inglese
Pubblicazione: 04/1999





Note Editore

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.





Sommario

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




Autore

Dorian Pyle is Chief Scientist and Founder of PTI (www.pti.com), which develops and markets PowerhouseT 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.











Altre Informazioni

ISBN:

9781558605299

Condizione: Nuovo
Collana: The Morgan Kaufmann Series in Data Management Systems
Formato: Brossura
Pagine Arabe: 560


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