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A Centroid and Relationship based Clustering for Organizing Research Papers

첫 페이지 보기
  • 발행기관
    보안공학연구지원센터(IJMUE) 바로가기
  • 간행물
    International Journal of Multimedia and Ubiquitous Engineering SCOPUS 바로가기
  • 통권
    Vol.9 No.3 (2014.03)바로가기
  • 페이지
    pp.219-234
  • 저자
    Damien Hanyurwimfura, Liao Bo, Dennis Njagi, Paul Dukuzumuremyi
  • 언어
    영어(ENG)
  • URL
    https://www.earticle.net/Article/A218505

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원문정보

초록

영어
Finding research papers about particular topic of study is the most time consuming activity for many people including students, professors and researchers. People doing research have to search, read and analyze multiple research papers, e-books and other documents and then determine what they contain and discover knowledge from them. Huge available resources are in the form of unstructured texts format of long text pages which require a long time to process, search, read and analyze. Organizing research papers in their respective subjects or topics can facilitate the search process. We propose a new method to research paper organization and retrieval that is amenable to closely research papers and intertwined research topics. With our centroid and relationship based clustering approach, research papers are arranged and grouped within the most probable research topics or subjects. To determine topic membership, the proposed approach considers relationships such as common terms in paper title, in keywords, in referenced titles and common terms in the top frequent sentences. To solve the high dimensional problem associated with text document, only most important information of the paper is considered and we leverage on multi-word and frequent occurring phrases as the features in clustering process. Conducted experiments show that our approach is effective.

목차

Abstract
 1. Introduction
 2. Related works
 3. Centroid and Relationship based Clustering Method
  3.1. Information extraction
  3.2. Paper relationship
  3.3. Multi word features
  3.4. Centroid based clustering
 4. Feature Extraction and Initial Centroids Selection
  4.1 Preprocessing
  4.2 Important information extraction or Feature selection
  4.3 Phrase extraction
  4.4 Initial Centroid selection
 5. Papers Clustering
 6. Evaluation of the Proposed Approach
 7. Conclusion
 References

키워드

centroids selection research papers paper clustering paper relationship multi words features important information

저자

  • Damien Hanyurwimfura [ College of Information Science and Engineering, Hunan University, China, College of Science and Technology, University of Rwanda, Kigali, Rwanda ]
  • Liao Bo [ College of Information Science and Engineering, Hunan University, China ]
  • Dennis Njagi [ College of Information Science and Engineering, Central South University, China ]
  • Paul Dukuzumuremyi [ College of Information Science and Engineering, Central South University, China ]

참고문헌

자료제공 : 네이버학술정보

간행물 정보

발행기관

  • 발행기관명
    보안공학연구지원센터(IJMUE) [Science & Engineering Research Support Center, Republic of Korea(IJMUE)]
  • 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 Multimedia and Ubiquitous Engineering
  • 간기
    월간
  • pISSN
    1975-0080
  • 수록기간
    2008~2016
  • 등재여부
    SCOPUS
  • 십진분류
    KDC 505 DDC 605

이 권호 내 다른 논문 / International Journal of Multimedia and Ubiquitous Engineering Vol.9 No.3

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