Notes

"A Bradford book." Includes bibliographical references (p. [491]-524) and index. 1. Introduction -- 2. Measurement and Data -- 3. Visualizing and Exploring Data -- 4. Data Analysis and Uncertainty -- 5. A Systematic Overview of Data Mining Algorithms -- 6. Models and Patterns -- 7. Score Functions for Data Mining Algorithms -- 8. Search and Optimization Methods -- 9. Descriptive Modeling -- 10. Predictive Modeling for Classification -- 11. Predictive Modeling for Regression -- 12. Data Organization and Databases -- 13. Finding Patterns and Rules -- 14. Retrieval by Content -- App. Random Variables.

Classification

• LCC: QA76.9

Book Details

• Language: eng
• Physical Description: xxxii, 546 p. : ill. ; 24 cm.
• Edition Info: (alk. paper)

Subjects

• Data mining

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