FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2161723275> ?p ?o ?g. }

• W2161723275 endingPage "1050" @default.
• W2161723275 startingPage "1036" @default.
• W2161723275 abstract "Computational techniques that build models to correctly assign chemical compounds to various classes of interest have many applications in pharmaceutical research and are used extensively at various phases during the drug development process. These techniques are used to solve a number of classification problems such as predicting whether or not a chemical compound has the desired biological activity, is toxic or nontoxic, and filtering out drug-like compounds from large compound libraries. This paper presents a substructure-based classification algorithm that decouples the substructure discovery process from the classification model construction and uses frequent subgraph discovery algorithms to find all topological and geometric substructures present in the data set. The advantage of this approach is that during classification model construction, all relevant substructures are available allowing the classifier to intelligently select the most discriminating ones. The computational scalability is ensured by the use of highly efficient frequent subgraph discovery algorithms coupled with aggressive feature selection. Experimental evaluation on eight different classification problems shows that our approach is computationally scalable and, on average, outperforms existing schemes by 7 percent to 35 percent." @default.
• W2161723275 created "2016-06-24" @default.
• W2161723275 creator A5060918634 @default.
• W2161723275 creator A5062191522 @default.
• W2161723275 creator A5071947305 @default.
• W2161723275 creator A5080977784 @default.
• W2161723275 date "2005-08-01" @default.
• W2161723275 modified "2023-10-03" @default.
• W2161723275 title "Frequent substructure-based approaches for classifying chemical compounds" @default.
• W2161723275 cites W113396932 @default.
• W2161723275 cites W1497782867 @default.
• W2161723275 cites W1535228720 @default.
• W2161723275 cites W1544481768 @default.
• W2161723275 cites W1581588296 @default.
• W2161723275 cites W1606992230 @default.
• W2161723275 cites W1619260253 @default.
• W2161723275 cites W1967436230 @default.
• W2161723275 cites W1970202530 @default.
• W2161723275 cites W1970259423 @default.
• W2161723275 cites W1970651561 @default.
• W2161723275 cites W1972156862 @default.
• W2161723275 cites W1985104873 @default.
• W2161723275 cites W1987902506 @default.
• W2161723275 cites W1989141250 @default.
• W2161723275 cites W1991286793 @default.
• W2161723275 cites W1994126845 @default.
• W2161723275 cites W2003932717 @default.
• W2161723275 cites W2014123957 @default.
• W2161723275 cites W2014728572 @default.
• W2161723275 cites W2015422283 @default.
• W2161723275 cites W2016979469 @default.
• W2161723275 cites W2017398555 @default.
• W2161723275 cites W2018590585 @default.
• W2161723275 cites W2021748110 @default.
• W2161723275 cites W2023532185 @default.
• W2161723275 cites W2026909852 @default.
• W2161723275 cites W2029883642 @default.
• W2161723275 cites W2034411740 @default.
• W2161723275 cites W2051589410 @default.
• W2161723275 cites W2059556517 @default.
• W2161723275 cites W2059837064 @default.
• W2161723275 cites W2060531713 @default.
• W2161723275 cites W2061111857 @default.
• W2161723275 cites W2071744657 @default.
• W2161723275 cites W2081050523 @default.
• W2161723275 cites W2083534494 @default.
• W2161723275 cites W2095175954 @default.
• W2161723275 cites W2096729078 @default.
• W2161723275 cites W2096942889 @default.
• W2161723275 cites W2099404336 @default.
• W2161723275 cites W2116296021 @default.
• W2161723275 cites W2118349699 @default.
• W2161723275 cites W2119831128 @default.
• W2161723275 cites W2134097564 @default.
• W2161723275 cites W2136593687 @default.
• W2161723275 cites W2138024338 @default.
• W2161723275 cites W2167404361 @default.
• W2161723275 cites W2168209541 @default.
• W2161723275 cites W2321929586 @default.
• W2161723275 cites W2486095760 @default.
• W2161723275 cites W2792455800 @default.
• W2161723275 cites W4241098251 @default.
• W2161723275 cites W4249787843 @default.
• W2161723275 doi "https://doi.org/10.1109/tkde.2005.127" @default.
• W2161723275 hasPublicationYear "2005" @default.
• W2161723275 type Work @default.
• W2161723275 sameAs 2161723275 @default.
• W2161723275 citedByCount "321" @default.
• W2161723275 countsByYear W21617232752012 @default.
• W2161723275 countsByYear W21617232752013 @default.
• W2161723275 countsByYear W21617232752014 @default.
• W2161723275 countsByYear W21617232752015 @default.
• W2161723275 countsByYear W21617232752016 @default.
• W2161723275 countsByYear W21617232752017 @default.
• W2161723275 countsByYear W21617232752018 @default.
• W2161723275 countsByYear W21617232752019 @default.
• W2161723275 countsByYear W21617232752020 @default.
• W2161723275 countsByYear W21617232752021 @default.
• W2161723275 countsByYear W21617232752022 @default.
• W2161723275 countsByYear W21617232752023 @default.
• W2161723275 crossrefType "journal-article" @default.
• W2161723275 hasAuthorship W2161723275A5060918634 @default.
• W2161723275 hasAuthorship W2161723275A5062191522 @default.
• W2161723275 hasAuthorship W2161723275A5071947305 @default.
• W2161723275 hasAuthorship W2161723275A5080977784 @default.
• W2161723275 hasBestOaLocation W21617232752 @default.
• W2161723275 hasConcept C111919701 @default.
• W2161723275 hasConcept C119857082 @default.
• W2161723275 hasConcept C120567893 @default.
• W2161723275 hasConcept C124101348 @default.
• W2161723275 hasConcept C127413603 @default.
• W2161723275 hasConcept C148483581 @default.
• W2161723275 hasConcept C153180895 @default.
• W2161723275 hasConcept C154945302 @default.
• W2161723275 hasConcept C41008148 @default.
• W2161723275 hasConcept C48044578 @default.
• W2161723275 hasConcept C60644358 @default.
• W2161723275 hasConcept C66938386 @default.

• next