Today an efficient information search is very important to extract and analyze user requirements in vast amount of web information. Due to this reason, this paper proposes the log based keyword extraction method which finds the associated keywords in a certain domain. Also, this paper proposes the spread based clustering method as clustering the keywords with high association among the keyword-sets of the maximum frequent keyword-sets with redundancy removal by the log based keyword extraction method. The proposed method in this paper is much more efficient and exact than conventional works. The performance of the proposed algorithm is analyzed by a series of experiments to identify its various characteristics.
목차
Abstract 1. Introduction 2. Related Works 3. Associated Keyword Extraction and Clustering 3.1. Searching log Analysis and Keyword Extraction 3.2. Log based Keyword Extraction Method and Spread based Clustering Method 4. Experimental Results 5. Conclusion Acknowledgements References
키워드
keyword extractiondocument clusteringdata mining
저자
Nam Hun Park [ Dept. of Computer Science, Anyang University ]
First Author
Kil Hong Joo [ Gyeongin National University of Education ]
Corresponding Author
보안공학연구지원센터(IJSEIA) [Science & Engineering Research Support Center, Republic of Korea(IJSEIA)]
설립연도
2006
분야
공학>컴퓨터학
소개
1. 보안공학에 대한 각종 조사 및 연구
2. 보안공학에 대한 응용기술 연구 및 발표
3. 보안공학에 관한 각종 학술 발표회 및 전시회 개최
4. 보안공학 기술의 상호 협조 및 정보교환
5. 보안공학에 관한 표준화 사업 및 규격의 제정
6. 보안공학에 관한 산학연 협동의 증진
7. 국제적 학술 교류 및 기술 협력
8. 보안공학에 관한 논문지 발간
9. 기타 본 회 목적 달성에 필요한 사업
간행물
간행물명
International Journal of Software Engineering and Its Applications
간기
월간
pISSN
1738-9984
수록기간
2008~2016
등재여부
SCOPUS
십진분류
KDC 505DDC 605
이 권호 내 다른 논문 / International Journal of Software Engineering and Its Applications Vol.7 No.6