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Machine Learning
- 1. Machine Learning, Data Mining INFO 629 Dr. R. Weber
- 10. Categorization
- 11. Classification
- 12. Clustering
- 17. Decision trees consist of: - leaf nodes (classes) - decision nodes (tests on attribute values) - from decision nodes branches grow for each possible outcome of the test From Cawsey, 1997
- 21. ID3 algorithm no yes yes yes no Simon 6 yes yes yes no yes Gail 5 no yes no yes no Jeff 4 yes no yes no no Alison 3 yes no yes yes yes Alan 2 yes yes no yes yes Richard 1 First this year? Drinks? Works hard? Male? First last year? Student No.
- 22. ID3 algorithm no yes yes yes no Simon 6 yes yes yes no yes Gail 5 no yes no yes no Jeff 4 yes no yes no no Alison 3 yes no yes yes yes Alan 2 yes yes no yes yes Richard 1 First this year? Drinks? Works hard? Male? First last year? Student No.
- 23. ID3 algorithm no yes yes yes no Simon 6 yes yes yes no yes Gail 5 no yes no yes no Jeff 4 yes no yes no no Alison 3 yes no yes yes yes Alan 2 yes yes no yes yes Richard 1 First this year? Drinks? Works hard? Male? First last year? Student No.
- 24. ID3 algorithm no yes yes yes no Simon 6 yes yes yes no yes Gail 5 no yes no yes no Jeff 4 yes no yes no no Alison 3 yes no yes yes yes Alan 2 yes yes no yes yes Richard 1 First this year? Drinks? Works hard? Male? First last year? Student No.
- 25. ID3 algorithm no yes yes yes no Simon 6 yes yes yes no yes Gail 5 no yes no yes no Jeff 4 yes no yes no no Alison 3 yes no yes yes yes Alan 2 yes yes no yes yes Richard 1 First this year? Drinks? Works hard? Male? First last year? Student No.
- 26. ID3 algorithm no yes yes yes no Simon 6 yes yes yes no yes Gail 5 no yes no yes no Jeff 4 yes no yes no no Alison 3 yes no yes yes yes Alan 2 yes yes no yes yes Richard 1 First this year? Drinks? Works hard? Male? First last year? Student No.
- 27. ID3 algorithm no yes yes yes no Simon 6 yes yes yes no yes Gail 5 no yes no yes no Jeff 4 yes no yes no no Alison 3 yes no yes yes yes Alan 2 yes yes no yes yes Richard 1 First this year? Drinks? Works hard? Male? First last year? Student No.
- 32. The KDD Process DATA patterns interpretation SELECTED DATA PROCESSED DATA browsing KNOWLEDGE TRANSFORMED DATA filtering preprocessing transformation Data mining
Notas do Editor
- What is predictive modeling? Predictive modeling uses demographic, medical and pharmacy claims information to determine the range and intensity of medical problems for a given population of insured persons. This assessment of risk allows health plans, payers and provider groups to plan, evaluate and fund health care management programs more effectively. From: http://www.dxcgrisksmart.com/faq.html
- What is predictive modeling? Predictive modeling uses demographic, medical and pharmacy claims information to determine the range and intensity of medical problems for a given population of insured persons. This assessment of risk allows health plans, payers and provider groups to plan, evaluate and fund health care management programs more effectively. From: http://www.dxcgrisksmart.com/faq.html