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We call\u003cbr /\u003eenumeration of subgraphs of a given graph, such that those subgraphs have\u003cbr /\u003especified properties, as subgraph enumeration. Similarly We call enumeration\u003cbr /\u003eof supergraphs of a given graph as subgraph enumeration. In this thesis, we will\u003cbr /\u003econsider about subgraph/supergraph enumeration algorithms. In areas such as\u003cbr /\u003edata mining or statistics, subgraph enumeration and supergraph enumeration\u003cbr /\u003eplay important roles to find frequent patterns or to draw on some rules satisfied\u003cbr /\u003eby the inputs, etc.\u003cbr /\u003e  We developed two types of algorithms of subgraph/supergraph enumeration\u003cbr /\u003efor chordal and related graphs; one searches graphs to be enumerated by an\u003cbr /\u003eedge addition or an edge removal; the other defines a neighbor of searching by\u003cbr /\u003ea simplicial vertex elimination, which is specific for chordal graphs. The first\u003cbr /\u003etype uses the fact that there are only O(n\u003csup\u003e2\u003c/sup\u003e) edges in a complete graph K\u003csub\u003en\u003c/sub\u003e,\u003cbr /\u003eand achieves polynomial time delay algorithms. We can use this method to\u003cbr /\u003edevelop both subgraph enumeration algorithms and super graph enumeration\u003cbr /\u003ealgorithms. The second type uses nice properties of simplicial vertices and the\u003cbr /\u003efact that we can enumerate cliques in a chordal graph quickly. Using this type\u003cbr /\u003eof algorithm for chordal subgraph enumeration is faster than doing so using\u003cbr /\u003ethe first type (it needs only constant time to enumerate each chordal graph).\u003cbr /\u003eHowever, this method is only for the subgraph enumeration.\u003cbr /\u003e  The organization of this thesis is as follows. We first introduce enumeration,\u003cbr /\u003efocusing particularly on graph enumeration. Chapter 2 provides the preliminaries,\u003cbr /\u003enotes about terms that we use in this thesis, and explanations about graph\u003cbr /\u003eclasses. In Chapter 3, we discuss the difficulties of our enumeration problems,\u003cbr /\u003eand explain the framework of the reverse search method. In Chapter 4, we\u003cbr /\u003edevelop algorithms for our enumeration problems. These algorithms are based\u003cbr /\u003eon the reverse search method. They are of two types: one defines parents such\u003cbr /\u003ethat the difference between a graph and its parent is exactly one, and the other\u003cbr /\u003edefines parents such that the parent of a graph is obtained by eliminating a\u003cbr /\u003esimplicial vertex. 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  1. 020 学位論文
  2. 複合科学研究科
  3. 17 情報学専攻

Studies on Subgraph and Supergraph Enumeration Algorithms

https://ir.soken.ac.jp/records/853
https://ir.soken.ac.jp/records/853
68ff5385-3e68-414b-a4b3-590a4078afc8
名前 / ファイル ライセンス アクション
甲998_要旨.pdf 要旨・審査要旨 (502.1 kB)
甲998_本文.pdf 本文 (816.7 kB)
Item type 学位論文 / Thesis or Dissertation(1)
公開日 2010-02-22
タイトル
タイトル Studies on Subgraph and Supergraph Enumeration Algorithms
タイトル
言語 en
タイトル Studies on Subgraph and Supergraph Enumeration Algorithms
言語
言語 eng
資源タイプ
資源タイプ識別子 http://purl.org/coar/resource_type/c_46ec
資源タイプ thesis
著者名 清見, 礼

× 清見, 礼

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清見, 礼

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フリガナ キヨミ, マサシ

× キヨミ, マサシ

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キヨミ, マサシ

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著者 KIYOMI, Masashi

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学位授与機関
学位授与機関名 総合研究大学院大学
学位名
学位名 博士(情報学)
学位記番号
内容記述タイプ Other
内容記述 総研大甲第998号
研究科
値 複合科学研究科
専攻
値 17 情報学専攻
学位授与年月日
学位授与年月日 2006-09-29
学位授与年度
2006
要旨
内容記述タイプ Other
内容記述 Enumeration is listing all objects that satisfy given properties. We call<br />enumeration of subgraphs of a given graph, such that those subgraphs have<br />specified properties, as subgraph enumeration. Similarly We call enumeration<br />of supergraphs of a given graph as subgraph enumeration. In this thesis, we will<br />consider about subgraph/supergraph enumeration algorithms. In areas such as<br />data mining or statistics, subgraph enumeration and supergraph enumeration<br />play important roles to find frequent patterns or to draw on some rules satisfied<br />by the inputs, etc.<br /> We developed two types of algorithms of subgraph/supergraph enumeration<br />for chordal and related graphs; one searches graphs to be enumerated by an<br />edge addition or an edge removal; the other defines a neighbor of searching by<br />a simplicial vertex elimination, which is specific for chordal graphs. The first<br />type uses the fact that there are only O(n<sup>2</sup>) edges in a complete graph K<sub>n</sub>,<br />and achieves polynomial time delay algorithms. We can use this method to<br />develop both subgraph enumeration algorithms and super graph enumeration<br />algorithms. The second type uses nice properties of simplicial vertices and the<br />fact that we can enumerate cliques in a chordal graph quickly. Using this type<br />of algorithm for chordal subgraph enumeration is faster than doing so using<br />the first type (it needs only constant time to enumerate each chordal graph).<br />However, this method is only for the subgraph enumeration.<br /> The organization of this thesis is as follows. We first introduce enumeration,<br />focusing particularly on graph enumeration. Chapter 2 provides the preliminaries,<br />notes about terms that we use in this thesis, and explanations about graph<br />classes. In Chapter 3, we discuss the difficulties of our enumeration problems,<br />and explain the framework of the reverse search method. In Chapter 4, we<br />develop algorithms for our enumeration problems. These algorithms are based<br />on the reverse search method. They are of two types: one defines parents such<br />that the difference between a graph and its parent is exactly one, and the other<br />defines parents such that the parent of a graph is obtained by eliminating a<br />simplicial vertex. And, we conclude the thesis in Chapter 5.
所蔵
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フォーマット
内容記述タイプ Other
内容記述 application/pdf
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