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- W2214337895 abstract "Pablo 0 0 2010-02-26T16:45:00Z 2010-02-26T16:45:00Z 1 128 734 USP 6 1 861 14.0 Normal 0 false false false EN-US JA X-NONE /* Style Definitions */table.MsoNormalTable{mso-style-name:Table Normal;mso-tstyle-rowband-size:0;mso-tstyle-colband-size:0;mso-style-noshow:yes;mso-style-priority:99;mso-style-parent:;mso-padding-alt:0cm 5.4pt 0cm 5.4pt;mso-para-margin:0cm;mso-para-margin-bottom:.0001pt;mso-pagination:widow-orphan;font-size:10.0pt;font-family:Calibri;mso-ansi-language:EN-US;} Graph mining is concerned with mining frequent subgraph patterns over a collection of graphs, aiming to find novel and useful knowledge. It has being used to analyze data from different domains, sometimes using algorithms tailored for a specific area of knowledge. In this paper, we propose a graph-mining algorithm and its application in the biomedical domain. We introduce the ADI-bio structure, which organizes data from a database with information of a disease’s patient, and also the ADI-Minebio algorithm, which performs a search on the proposed ADI-bio structure to find frequent subgraphs. Our approach is based on the ADI (adjacency index) structure and the ADI-Mine algorithm, but specifies a different structure and hence a new way of analyzing data through this structure. We also present a performance study to show the feasibility of our approach." @default.
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- W2214337895 date "2011-09-13" @default.
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- W2214337895 title "ADI-Minebio: A Graph Mining Algorithm for Biomedical Data" @default.
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