목차
1. 데이터마이닝의 정의
1) 데이터마이닝의 여러 정의
2) 관점별 정의
2. 데이터마이닝의 등장배경
1) 출현배경
2) 데이터마이닝으로 발전담계
3)국내동향
3. 데이터마이닝의 특징
4. 데이터마이닝의 처리과정
1) 문제저의 단계
2) 데이터베이스 구축단계
3) Data mining 단계
4) 비지니스 보고서 작성 단계
5) 의사결정단계
6) 피드백 단계
5. 데이터마이닝의 적용상의 주의사항
6. 데이터마이닝의 접근방법
1) Supervised data
2) unsupervised data
7. 데이터마이닝 기법
1) 연관규칙
2) 순차패턴
3) 클러스터링
4) 의사결정나무
5) 인공신경망
6) 유전학적 기법
7) 사례기반추출
1) 데이터마이닝의 여러 정의
2) 관점별 정의
2. 데이터마이닝의 등장배경
1) 출현배경
2) 데이터마이닝으로 발전담계
3)국내동향
3. 데이터마이닝의 특징
4. 데이터마이닝의 처리과정
1) 문제저의 단계
2) 데이터베이스 구축단계
3) Data mining 단계
4) 비지니스 보고서 작성 단계
5) 의사결정단계
6) 피드백 단계
5. 데이터마이닝의 적용상의 주의사항
6. 데이터마이닝의 접근방법
1) Supervised data
2) unsupervised data
7. 데이터마이닝 기법
1) 연관규칙
2) 순차패턴
3) 클러스터링
4) 의사결정나무
5) 인공신경망
6) 유전학적 기법
7) 사례기반추출
본문내용
..............3
4. 데이터마이닝의 처리과정.................................................................................................................3
1) 문제저의 단계.........................................................................................................................................................3
2) 데이터베이스 구축단계.........................................................................................................................................3
3) Data mining 단계..................................................................................................................................................3
4) 비지니스 보고서 작성 단계.................................................................................................................................4
5) 의사결정단계...........................................................................................................................................................5
6) 피드백 단계 ...........................................................................................................................................................5
5. 데이터마이닝의 적용상의 주의사항................................................................................................5
6. 데이터마이닝의 접근방법................................................................................................................5
1) Supervised data.....................................................................................................................................................5
2) unsupervised data.................................................................................................................................................6
7. 데이터마이닝 기법..........................................................................................................................6
1) 연관규칙..................................................................................................................................................................6
2) 순차패턴..................................................................................................................................................................8
3) 클러스터링..............................................................................................................................................................9
4) 의사결정나무........................................................................................................................................................10
5) 인공신경망............................................................................................................................................................12
6) 유전학적 기법......................................................................................................................................................13
7) 사례기반추출........................................................................................................................................................16
4. 데이터마이닝의 처리과정.................................................................................................................3
1) 문제저의 단계.........................................................................................................................................................3
2) 데이터베이스 구축단계.........................................................................................................................................3
3) Data mining 단계..................................................................................................................................................3
4) 비지니스 보고서 작성 단계.................................................................................................................................4
5) 의사결정단계...........................................................................................................................................................5
6) 피드백 단계 ...........................................................................................................................................................5
5. 데이터마이닝의 적용상의 주의사항................................................................................................5
6. 데이터마이닝의 접근방법................................................................................................................5
1) Supervised data.....................................................................................................................................................5
2) unsupervised data.................................................................................................................................................6
7. 데이터마이닝 기법..........................................................................................................................6
1) 연관규칙..................................................................................................................................................................6
2) 순차패턴..................................................................................................................................................................8
3) 클러스터링..............................................................................................................................................................9
4) 의사결정나무........................................................................................................................................................10
5) 인공신경망............................................................................................................................................................12
6) 유전학적 기법......................................................................................................................................................13
7) 사례기반추출........................................................................................................................................................16