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Proposing a Algorithm for Finding Repetitive Patterns in Web Dataflow

첫 페이지 보기
  • 발행기관
    보안공학연구지원센터(IJSEIA) 바로가기
  • 간행물
    International Journal of Software Engineering and Its Applications SCOPUS 바로가기
  • 통권
    Vol.9 No.7 (2015.07)바로가기
  • 페이지
    pp.181-192
  • 저자
    Mohammad Rostami, Somayyeh Ehteshami, Fatemeh Yaghoobi, Farid Saghari, Samaneh Dezhdar
  • 언어
    영어(ENG)
  • URL
    https://www.earticle.net/Article/A251373

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원문정보

초록

영어
Today, searching repetitive patterns on data flows is very important. By data flow we mean a type of data which is constantly produced in a very fast and unlimited manner. As a kind of these data we can name the report of clicks in computer networks. A repetitive pattern is a pattern which is available in a significant number of transactions. Finding repetitive patterns in data flows is a new and arguable issue in data mining as data is received in form of fast and continuous flow. Unlike static databases, flow mining faces a lot of problems including single review, requiring unlimited memory and high rate of input data. A common way of searching repetitive patterns is the excess check of data which requires to be saved in memory. In addition, according to the features of data flows i.e. unlimited and fast production, it is not possible to save them in memory and hence techniques are needed which are able to process them online and find repetitive patterns. One of the most popular relative techniques is using sliding windows. It’s advantage is reduction of the consumed memory and increase in search speed. In this paper, a new vertical display and an algorithm based on pins, called DBP-BA, are proposed to find repetitive patters in data flows. Since this new display without any additional task has a compact form, the proposed algorithm has a better performance than similar ones in terms of consumed memory and processing time. On the other hand, experiments support this matter.

목차

Abstract
 1. Introduction
 2. Basic Definitions
 3. A Review on Algorithms of Data Streams Mining
 4. The Proposed Algorithm
 5. DPB-BA Algorithm Pseudo Code
 6. Results and Assessment
 7. Conclusion
 References

키워드

data flows sliding windows pin repetitive data pen set

저자

  • Mohammad Rostami [ Member of Young Researchers Club, Islamic Azad University, Dehaghan Branch, Isfahan, Iran ]
  • Somayyeh Ehteshami [ Software Engineering Department, Shiraz, Iran ]
  • Fatemeh Yaghoobi [ Software Engineering Department, Isfahan, Iran ]
  • Farid Saghari [ Software Engineering Department, Tabriz, Iran ]
  • Samaneh Dezhdar [ Software Engineering Department, Arak, Iran ]

참고문헌

자료제공 : 네이버학술정보

간행물 정보

발행기관

  • 발행기관명
    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 505 DDC 605

이 권호 내 다른 논문 / International Journal of Software Engineering and Its Applications Vol.9 No.7

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