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      블록 보간 탐색법 = Block Interpolation Search

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      https://www.riss.kr/link?id=A103730318

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      다국어 초록 (Multilingual Abstract)

      The binary and interpolation search algorithms are the most famous among search area algorithms, the former running in $O(log_2n)$ on average, and the latter in $O(log_2log_2n)$ on average and O(n) at worst. Also, the interpolation search use only the probability of key value location without priori information. This paper proposes another search algorithm, which I term a 'hybrid block and interpolation search'. This algorithm employs the block search, a method by which MSB index of a data is determined as a block, and the interpolation search to find the exact location of the key. The proposed algorithm reduces the search range with priori information and search the reduced range with uninformed situation. Experimental results show that the algorithm has a time complexity of $O(log_2log_2n_i)$, $n_i{\simeq}0.1n$ both on average and at worst through utilization of previously acquired information on the block search. The proposed algorithm has proved to be approximately 10 times faster than the interpolation search on average.
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      The binary and interpolation search algorithms are the most famous among search area algorithms, the former running in $O(log_2n)$ on average, and the latter in $O(log_2log_2n)$ on average and O(n) at worst. Also, the interpolation search use only the...

      The binary and interpolation search algorithms are the most famous among search area algorithms, the former running in $O(log_2n)$ on average, and the latter in $O(log_2log_2n)$ on average and O(n) at worst. Also, the interpolation search use only the probability of key value location without priori information. This paper proposes another search algorithm, which I term a 'hybrid block and interpolation search'. This algorithm employs the block search, a method by which MSB index of a data is determined as a block, and the interpolation search to find the exact location of the key. The proposed algorithm reduces the search range with priori information and search the reduced range with uninformed situation. Experimental results show that the algorithm has a time complexity of $O(log_2log_2n_i)$, $n_i{\simeq}0.1n$ both on average and at worst through utilization of previously acquired information on the block search. The proposed algorithm has proved to be approximately 10 times faster than the interpolation search on average.

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      참고문헌 (Reference)

      1 이상운, "빠른 계수 정렬법의 제안" 한국인터넷방송통신학회 15 (15): 61-68, 2015

      2 이상운, "범위 피벗 퀵정렬" 한국컴퓨터정보학회 17 (17): 139-145, 2012

      3 이상운, "가상의 기수계수버킷 정렬" 한국인터넷방송통신학회 15 (15): 95-102, 2015

      4 D. Knuth, "The Art of Computer Programming 3(3rd ed.), Section 6.1: Sequential Searching" Addison-Wesley 396-408, 1997

      5 A. R. Chadha, "Modified Binary Search Algorithm" 7 (7): 37-40, 2014

      6 T. H. Cormen, "Introduction to Algorithms" MIT Press 2005

      7 David E. Ferguson, "Fibonaccian searching" Association for Computing Machinery (ACM) 3 (3): 648-, 1960

      8 STEPHEN R. SHOROFSKY, "Comparison of Step-Down and Binary Search Algorithms for Determination of Defibrillation Threshold in Humans" Wiley-Blackwell 27 (27): 218-220, 2004

      9 A. Arne, "Automata, Languages and Programming" 5-27, 1993

      10 Gaston H. Gonnet, "An algorithmic and complexity analysis of interpolation search" Springer Nature 13 (13): 39-52, 1980

      1 이상운, "빠른 계수 정렬법의 제안" 한국인터넷방송통신학회 15 (15): 61-68, 2015

      2 이상운, "범위 피벗 퀵정렬" 한국컴퓨터정보학회 17 (17): 139-145, 2012

      3 이상운, "가상의 기수계수버킷 정렬" 한국인터넷방송통신학회 15 (15): 95-102, 2015

      4 D. Knuth, "The Art of Computer Programming 3(3rd ed.), Section 6.1: Sequential Searching" Addison-Wesley 396-408, 1997

      5 A. R. Chadha, "Modified Binary Search Algorithm" 7 (7): 37-40, 2014

      6 T. H. Cormen, "Introduction to Algorithms" MIT Press 2005

      7 David E. Ferguson, "Fibonaccian searching" Association for Computing Machinery (ACM) 3 (3): 648-, 1960

      8 STEPHEN R. SHOROFSKY, "Comparison of Step-Down and Binary Search Algorithms for Determination of Defibrillation Threshold in Humans" Wiley-Blackwell 27 (27): 218-220, 2004

      9 A. Arne, "Automata, Languages and Programming" 5-27, 1993

      10 Gaston H. Gonnet, "An algorithmic and complexity analysis of interpolation search" Springer Nature 13 (13): 39-52, 1980

      11 R. Sedgewick, "Algorithms in C, Parts 1-4:Fundamentals, Data Structures, Sorting, Searching" Addison-Wesley 1998

      12 C. A. R. Hoare, "Algorithm 64: Quicksort" Association for Computing Machinery (ACM) 4 (4): 321-327, 1961

      13 이상운, "3-점 평균 피벗 퀵정렬" 한국인터넷방송통신학회 14 (14): 295-301, 2014

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      유사연구자 (20) 활용도상위20명

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      학술지 이력

      학술지 이력
      연월일 이력구분 이력상세 등재구분
      2026 평가예정 재인증평가 신청대상 (재인증)
      2020-01-01 평가 등재학술지 유지 (재인증) KCI등재
      2017-01-01 평가 등재학술지 유지 (계속평가) KCI등재
      2014-01-08 학술지명변경 외국어명 : 미등록 -> The Journal of The Institute of Internet, Broadcasting and Communication KCI등재
      2013-12-26 학회명변경 영문명 : The Institute of Webcasting, Internet and Telecommunication -> The Institute of Internet, Broadcasting and Communication KCI등재
      2013-01-01 평가 등재 1차 FAIL (등재유지) KCI등재
      2011-02-22 학술지명변경 한글명 : 한국인터넷방송통신TV학회 논문지 -> 한국인터넷방송통신학회 논문지 KCI등재
      2010-06-21 학회명변경 한글명 : 한국인터넷방송통신TV학회 -> 한국인터넷방송통신학회
      영문명 : Institute Of Webcasting, Internet Television And Telecommunication -> The Institute of Webcasting, Internet and Telecommunication
      KCI등재
      2010-01-01 평가 등재학술지 선정 (등재후보2차) KCI등재
      2009-01-01 평가 등재후보 1차 PASS (등재후보1차) KCI등재후보
      2008-06-17 학술지등록 한글명 : 한국인터넷방송통신TV학회 논문지
      외국어명 : 미등록
      KCI등재후보
      2008-01-01 평가 등재후보학술지 유지 (등재후보1차) KCI등재후보
      2006-01-01 평가 등재후보학술지 선정 (신규평가) KCI등재후보
      2005-08-25 학회명변경 한글명 : 한국인터넷방송/TV학회 -> 한국인터넷방송통신TV학회
      영문명 : Institute Of Webcasting, Internet Television And Telecommunication -> Institute Of Webcasting, Internet Television And Telecommunication
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      학술지 인용정보

      학술지 인용정보
      기준연도 WOS-KCI 통합IF(2년) KCIF(2년) KCIF(3년)
      2016 0.46 0.46 0.41
      KCIF(4년) KCIF(5년) 중심성지수(3년) 즉시성지수
      0.36 0.33 0.442 0.16
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