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Principles of Data Mining
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ISBN
:
9788120324572
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Publisher
:
MIT
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Subject
:
Computer Science
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Binding
:
Paperback
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Pages
:
580
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Year
:
2009
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550.0
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445.0
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Description
The rapid growth and integration of databases provides scientists, engineers, and business people with a vast new resource that can be analyzed to make scientific discoveries, optimize industrial systems, and uncover financially valuable patterns. To undertake these large data mining projects, researchers and practitioners have adopted established algorithms from statistics, machine learning, neural networks, and databases and have also developed new methods targeted at large data mining problems. Principles of Data Mining with its unique blend of inputs from information science, computer science, and statistics provides practitioners and students with an introduction to the wide range of algorithms and methodologies in this exciting area."Table of ContentsList of TablesList of FiguresSeries ForewordPreface1. Introduction2. Measurement and Data3. Visualizing and Exploring Data4. Data Analysis and Uncertainty5. A Systematic Overview of Data Mining Algorithms6. Models and Patterns7. Score Functions for Data Mining Algorithms8. Search and Optimization Methods9. Descriptive Modeling10. Predictive Modeling for Classification11. Predictive Modeling for Regression12. Data Organization and Databases13. Finding Patterns and Rules14. Retrieval by ContentAppendix: Random VariablesReferencesIndex
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