Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/7548
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dc.contributor.authorTan, Mehmet-
dc.contributor.authorPolat, Faruk-
dc.contributor.authorAlhajj, Reda-
dc.date.accessioned2021-09-11T15:57:45Z-
dc.date.available2021-09-11T15:57:45Z-
dc.date.issued2013en_US
dc.identifier.issn1748-5673-
dc.identifier.issn1748-5681-
dc.identifier.urihttps://doi.org/10.1504/IJDMB.2013.056080-
dc.identifier.urihttps://hdl.handle.net/20.500.11851/7548-
dc.description.abstractClassification of structured data is essential for a wide range of problems in bioinformatics and cheminformatics. One such problem is in silico prediction of small molecule properties such as toxicity, mutagenicity and activity. In this paper, we propose a new feature selection method for graph kernels that uses the subtrees of graphs as their feature sets. A masking procedure which boils down to feature selection is proposed for this purpose. Experiments conducted on several data sets as well as a comparison of our method with some frequent subgraph based approaches are presented.en_US
dc.description.sponsorshipFaculty of Graduate Studies at the University of Calgaryen_US
dc.description.sponsorshipReda Alhajj received BSc Degree in Computer Engineering from Middle East Technical University, Ankara, Turkey in 1988. After completed the BSc Degree with distinction from METU, he was offered a full scholarship to join the graduate program in computer engineering and information sciences at Bilkent University in Ankara, where he received the MSc and PhD Degrees in 1990 and 1993, respectively. Currently, he is a Professor in Department of Computer Science at University of Calgary, Alberta, Canada. He has published more than 280 papers in refreed international journals and conferences. He received Outstanding Achievements in Supervision award from the Faculty of Graduate Studies at the University of Calgary. His research group works primarily on biocomputing and biodata analysis, data mining, multiagent systems, schema integration and reengineering, social networks, and XML.en_US
dc.language.isoenen_US
dc.publisherInderscience Enterprises Ltden_US
dc.relation.ispartofInternational Journal of Data Mining And Bioinformaticsen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectfeature selectionen_US
dc.subjectclassificationen_US
dc.subjectgraph kernelsen_US
dc.subjectbioinformaticsen_US
dc.subjectcheminformaticsen_US
dc.titleSubtree Selection in Kernels for Graph Classificationen_US
dc.typeArticleen_US
dc.departmentFaculties, Faculty of Engineering, Department of Computer Engineeringen_US
dc.departmentFakülteler, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümütr_TR
dc.identifier.volume8en_US
dc.identifier.issue3en_US
dc.identifier.startpage294en_US
dc.identifier.endpage310en_US
dc.authorid0000-0002-1741-0570-
dc.authorid0000-0003-0509-9153-
dc.identifier.wosWOS:000324166600003en_US
dc.identifier.scopus2-s2.0-84883529334en_US
dc.institutionauthorTan, Mehmet-
dc.identifier.pmid24417023en_US
dc.identifier.doi10.1504/IJDMB.2013.056080-
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.identifier.scopusqualityQ2-
item.openairetypeArticle-
item.languageiso639-1en-
item.grantfulltextnone-
item.fulltextNo Fulltext-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.cerifentitytypePublications-
crisitem.author.dept02.1. Department of Artificial Intelligence Engineering-
Appears in Collections:Bilgisayar Mühendisliği Bölümü / Department of Computer Engineering
PubMed İndeksli Yayınlar Koleksiyonu / PubMed Indexed Publications Collection
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection
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