A novel representation of graph structures in web mining and data analysis

被引:8
作者
Blazewicz, J
Pesch, E
Sterna, M
机构
[1] Univ Siegen, Inst Informat Syst, Fac Econ, D-57068 Siegen, Germany
[2] Poznan Univ Tech, Inst Comp Sci, PL-60965 Poznan, Poland
来源
OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE | 2005年 / 33卷 / 01期
关键词
graph representation; data structure; data analysis;
D O I
10.1016/j.omega.2004.03.007
中图分类号
C93 [管理学];
学科分类号
12 ; 1201 ; 1202 ; 120202 ;
摘要
The paper presents a new graph representation, the graph matrix, which combines the adjacency matrix with the linked lists allowing for the fastest possible access to different types of information on a graph. This is increasingly important for a high search performance, for instance, for rapidly extracting information from the link structure in a hub and authority graph of the World-Wide-Web. A very recent application for the proposed data structure arises from categorical data clustering defining proximity and similarity of data through their patterns of co-occurrence. (C) 2004 Elsevier Ltd. All rights reserved.
引用
收藏
页码:65 / 71
页数:7
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