Meta Mining Ontology Framework for Domain Data Processing
In real life, extracting from real data through data mining is a complicated process. Meta-learning helps optimize algorithm parameters to improve the performance of data mining. And semantic meta mining helps build workflows based on knowledge models. This paper proposes a data mining ontology inte...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
FRUCT
2020-04-01
|
| Series: | Proceedings of the XXth Conference of Open Innovations Association FRUCT |
| Subjects: | |
| Online Access: | https://www.fruct.org/publications/acm26/files/Tia.pdf |
| _version_ | 1819206911211339776 |
|---|---|
| author | Man Tianxing Nataly Zhukova Alexander Vodyaho Aung Myo Thaw Nikolay Mustafin |
| author_facet | Man Tianxing Nataly Zhukova Alexander Vodyaho Aung Myo Thaw Nikolay Mustafin |
| author_sort | Man Tianxing |
| collection | DOAJ |
| description | In real life, extracting from real data through data mining is a complicated process. Meta-learning helps optimize algorithm parameters to improve the performance of data mining. And semantic meta mining helps build workflows based on knowledge models. This paper proposes a data mining ontology integration framework for adaptive data processing based on the concept of semantic meta mining. It allows building domain-oriented ontology for data mining tasks. The ontology helps to choose suitable solutions and format the processing process based on data characteristics and task requirements. For helping to process the data sets adaptively, an ontology merging method is presented for the application of the proposed ontology in various domains. As an example, this article presents the use of the proposed ontology and method on the domain of time series classification. |
| first_indexed | 2024-12-23T05:15:07Z |
| format | Article |
| id | doaj.art-ef110c285abc4f36b809359ca2c42eb5 |
| institution | Directory Open Access Journal |
| issn | 2305-7254 2343-0737 |
| language | English |
| last_indexed | 2024-12-23T05:15:07Z |
| publishDate | 2020-04-01 |
| publisher | FRUCT |
| record_format | Article |
| series | Proceedings of the XXth Conference of Open Innovations Association FRUCT |
| spelling | doaj.art-ef110c285abc4f36b809359ca2c42eb52022-12-21T17:58:51ZengFRUCTProceedings of the XXth Conference of Open Innovations Association FRUCT2305-72542343-07372020-04-0126266767410.5281/zenodo.4007458Meta Mining Ontology Framework for Domain Data ProcessingMan Tianxing0Nataly Zhukova1Alexander Vodyaho2Aung Myo Thaw3Nikolay Mustafin4Itmo University, RussiaSt. Petersburg Institute for Informatics and Automation of the Russian Academy of Sciences, RussiaSt. Petersburg Electrotechnical University LETI (ETU), RussiaITMO University, RussiaITMO University, RussiaIn real life, extracting from real data through data mining is a complicated process. Meta-learning helps optimize algorithm parameters to improve the performance of data mining. And semantic meta mining helps build workflows based on knowledge models. This paper proposes a data mining ontology integration framework for adaptive data processing based on the concept of semantic meta mining. It allows building domain-oriented ontology for data mining tasks. The ontology helps to choose suitable solutions and format the processing process based on data characteristics and task requirements. For helping to process the data sets adaptively, an ontology merging method is presented for the application of the proposed ontology in various domains. As an example, this article presents the use of the proposed ontology and method on the domain of time series classification.https://www.fruct.org/publications/acm26/files/Tia.pdfdata miningmeta-learningsemantic meta miningontology |
| spellingShingle | Man Tianxing Nataly Zhukova Alexander Vodyaho Aung Myo Thaw Nikolay Mustafin Meta Mining Ontology Framework for Domain Data Processing Proceedings of the XXth Conference of Open Innovations Association FRUCT data mining meta-learning semantic meta mining ontology |
| title | Meta Mining Ontology Framework for Domain Data Processing |
| title_full | Meta Mining Ontology Framework for Domain Data Processing |
| title_fullStr | Meta Mining Ontology Framework for Domain Data Processing |
| title_full_unstemmed | Meta Mining Ontology Framework for Domain Data Processing |
| title_short | Meta Mining Ontology Framework for Domain Data Processing |
| title_sort | meta mining ontology framework for domain data processing |
| topic | data mining meta-learning semantic meta mining ontology |
| url | https://www.fruct.org/publications/acm26/files/Tia.pdf |
| work_keys_str_mv | AT mantianxing metaminingontologyframeworkfordomaindataprocessing AT natalyzhukova metaminingontologyframeworkfordomaindataprocessing AT alexandervodyaho metaminingontologyframeworkfordomaindataprocessing AT aungmyothaw metaminingontologyframeworkfordomaindataprocessing AT nikolaymustafin metaminingontologyframeworkfordomaindataprocessing |