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http://bura.brunel.ac.uk/handle/2438/9871
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DC Field | Value | Language |
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dc.contributor.author | Panov, P | - |
dc.contributor.author | Soldatova, L | - |
dc.contributor.author | Dzeroski, S | - |
dc.date.accessioned | 2015-01-21T11:41:53Z | - |
dc.date.available | 2014-09-01 | - |
dc.date.available | 2015-01-21T11:41:53Z | - |
dc.date.issued | 2014 | - |
dc.identifier.citation | DATA MINING AND KNOWLEDGE DISCOVERY, 28:5-6, pp. 1222 - 1265, 2014 | en_US |
dc.identifier.issn | 1384-5810 | - |
dc.identifier.uri | http://link.springer.com/article/10.1007%2Fs10618-014-0363-0 | - |
dc.identifier.uri | http://bura.brunel.ac.uk/handle/2438/9871 | - |
dc.description.abstract | In this article, we present OntoDM-core, an ontology of core data mining entities. OntoDM-core defines themost essential datamining entities in a three-layered ontological structure comprising of a specification, an implementation and an application layer. It provides a representational framework for the description of mining structured data, and in addition provides taxonomies of datasets, data mining tasks, generalizations, data mining algorithms and constraints, based on the type of data. OntoDM-core is designed to support a wide range of applications/use cases, such as semantic annotation of data mining algorithms, datasets and results; annotation of QSAR studies in the context of drug discovery investigations; and disambiguation of terms in text mining. The ontology has been thoroughly assessed following the practices in ontology engineering, is fully interoperable with many domain resources and is easy to extend. | en_US |
dc.format.extent | 1222 - 1265 (44) | - |
dc.format.extent | 1222 - 1265 (44) | - |
dc.language | English | - |
dc.language.iso | en | en_US |
dc.publisher | SPRINGER | en_US |
dc.subject | Science & Technology | en_US |
dc.subject | Technology | en_US |
dc.subject | Computer Science, Artificial Intelligence | en_US |
dc.subject | Computer Science, Information Systems | en_US |
dc.subject | Computer Science | en_US |
dc.subject | Ontology of data mining | en_US |
dc.subject | Mining structured data | en_US |
dc.subject | Domain ontology | en_US |
dc.subject | COORDINATED EVOLUTION | en_US |
dc.subject | KNOWLEDGE DISCOVERY | en_US |
dc.subject | BIOLOGICAL-ACTIVITY | en_US |
dc.subject | REGRESSION TREES | en_US |
dc.subject | CLASSIFICATION | en_US |
dc.subject | ARTEMISININ | en_US |
dc.subject | ENVIRONMENT | en_US |
dc.subject | ENSEMBLES | en_US |
dc.subject | PREDICT | en_US |
dc.subject | MODELS | en_US |
dc.title | Ontology of core data mining entities | en_US |
dc.type | Article | en_US |
dc.identifier.doi | http://dx.doi.org/10.1007/s10618-014-0363-0 | - |
dc.relation.isPartOf | DATA MINING AND KNOWLEDGE DISCOVERY | - |
dc.relation.isPartOf | DATA MINING AND KNOWLEDGE DISCOVERY | - |
pubs.issue | 5-6 | - |
pubs.issue | 5-6 | - |
pubs.publication-status | Published | - |
pubs.publication-status | Published | - |
pubs.volume | 28 | - |
pubs.volume | 28 | - |
pubs.organisational-data | /Brunel | - |
pubs.organisational-data | /Brunel/Brunel Staff by College/Department/Division | - |
pubs.organisational-data | /Brunel/Brunel Staff by College/Department/Division/College of Engineering, Design and Physical Sciences | - |
pubs.organisational-data | /Brunel/Brunel Staff by College/Department/Division/College of Engineering, Design and Physical Sciences/Dept of Computer Science | - |
pubs.organisational-data | /Brunel/Brunel Staff by College/Department/Division/College of Engineering, Design and Physical Sciences/Dept of Computer Science/Computer Science | - |
pubs.organisational-data | /Brunel/Brunel Staff by Institute/Theme | - |
pubs.organisational-data | /Brunel/Brunel Staff by Institute/Theme/Institute of Environmental, Health and Societies | - |
pubs.organisational-data | /Brunel/Brunel Staff by Institute/Theme/Institute of Environmental, Health and Societies/Synthetic Biology | - |
pubs.organisational-data | /Brunel/University Research Centres and Groups | - |
pubs.organisational-data | /Brunel/University Research Centres and Groups/Brunel Business School - URCs and Groups | - |
pubs.organisational-data | /Brunel/University Research Centres and Groups/Brunel Business School - URCs and Groups/Centre for Research into Entrepreneurship, International Business and Innovation in Emerging Markets | - |
pubs.organisational-data | /Brunel/University Research Centres and Groups/School of Health Sciences and Social Care - URCs and Groups | - |
pubs.organisational-data | /Brunel/University Research Centres and Groups/School of Health Sciences and Social Care - URCs and Groups/Brunel Institute for Ageing Studies | - |
pubs.organisational-data | /Brunel/University Research Centres and Groups/School of Health Sciences and Social Care - URCs and Groups/Brunel Institute of Cancer Genetics and Pharmacogenomics | - |
pubs.organisational-data | /Brunel/University Research Centres and Groups/School of Health Sciences and Social Care - URCs and Groups/Centre for Systems and Synthetic Biology | - |
pubs.organisational-data | /Brunel/University Research Centres and Groups/School of Information Systems, Computing and Mathematics - URCs and Groups | - |
pubs.organisational-data | /Brunel/University Research Centres and Groups/School of Information Systems, Computing and Mathematics - URCs and Groups/Multidisclipary Assessment of Technology Centre for Healthcare (MATCH) | - |
Appears in Collections: | Dept of Computer Science Research Papers |
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FullText.pdf | 2.61 MB | Adobe PDF | View/Open |
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