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Data mining relational representation

The conversion of chemical names and identihers into appropriate chemical structure representations offers the ideal path for chemists and organizations to mine chemical information. Because chemical names are not unique and a multitude of labels can map to a single chemical entity, the facile conversion of alphanumeric text identihers to a connection table representation enables superior data capture, representation, indexing, and mining. The industry s need to mine more information from both the historical corpus as well as new sources is obvious, and a number of researchers have initiated research into the domain of chemical identiher text mining and conversion. Multiple efforts have been made in the held of bioinformatics research,8 and, while interesting as a parallel, in this chapter we will focus the efforts to extract and convert identihers related to chemical entities rather than, for example, genes, enzymes, or proteins. [Pg.23]


See other pages where Data mining relational representation is mentioned: [Pg.360]    [Pg.254]    [Pg.40]    [Pg.523]    [Pg.55]    [Pg.338]    [Pg.165]    [Pg.676]    [Pg.677]    [Pg.81]    [Pg.390]    [Pg.222]    [Pg.97]   
See also in sourсe #XX -- [ Pg.676 , Pg.677 ]




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