{ "ok": true, "doi": "10.46243/jstj.2018.v3.i5.175", "doi_display": "10.46243/jstj.2018.v3.i5.175", "doi_url": "https://doi.org/10.46243/jstj.2018.v3.i5.175", "state": "registered", "url": "https://www.jst.org.in/index.php/pub/article/view/175", "title": "Extraction of Multidimensional Data using Subset Selection Algorithm", "version": 2, "registered_via": "crossref", "prefix": { "prefix": "10.46243", "status": "live" }, "registrant": { "name": "Longman Publishers", "kind": "publisher", "country": "India" }, "reserved_at": null, "registered_at": "2026-09-29 22:00:37", "updated_at": "2026-09-29 23:59:57", "withdrawn_at": null, "withdrawn_reason": null, "record": { "format": "smartscholars-doi-metadata/1.0", "doi": "10.46243/jstj.2018.v3.i5.175", "referent": "Creation", "type": "JournalArticle", "structural_type": "Digital", "modes": [ "Visual" ], "characters": [ "Language" ], "titles": [ { "value": "Extraction of Multidimensional Data using Subset Selection Algorithm", "type": "PrincipalTitle", "lang": "en" } ], "identifiers": [ { "type": "DOI", "value": "10.46243/jstj.2018.v3.i5.175" } ], "agents": [ { "role": "author", "name": { "given": "Basanthapur", "family": "Ruthu" }, "sequence": "first" }, { "role": "author", "name": { "given": "Dr. M.", "family": "Sreedhar Reddy" }, "sequence": "additional" }, { "role": "publisher", "name": { "org": "Longman Publishers" } } ], "dates": { "published": "2018-09-26", "date_type": "PublicationDate", "online": "2018-09-26" }, "language": "en", "container": { "type": "Journal", "titles": [ { "value": "Journal of Science & Technology", "type": "PrincipalTitle" } ], "identifiers": [ { "type": "ISSN", "value": "2456-5660", "medium": "electronic" } ], "volume": "03", "issue": "05", "pages": { "first": "08", "last": "11" } }, "links": [ { "url": "https://www.jst.org.in/index.php/pub/article/view/175", "return_type": "text/html", "primary": true }, { "url": "https://www.jst.org.in/index.php/pub/article/download/175/154", "purpose": "text-mining", "return_type": "application/pdf" }, { "url": "https://www.jst.org.in/index.php/pub/article/download/175/3347", "purpose": "text-mining", "return_type": "application/xml" }, { "url": "https://www.jst.org.in/index.php/pub/article/view/175/154", "purpose": "similarity-checking" } ], "abstract": { "value": "Highlight Extraction includes recognizing a subset of the most helpful elements that produces perfect outcomes as the first whole arrangement of components. An element determination calculation might be assessed from both the productivity and adequacy perspectives. While the productivity concerns the time required to discover a subset of elements, the adequacy is identified with the nature of the subset of components. In light of these criteria, a quick bunching based element determination calculation, FAST, is proposed and tentatively assessed in this paper. The FAST calculation works in two stages.In the initial step, highlights are separated into bunches by utilizing chart theoretic grouping strategies. In the second step, the most illustrative component that is unequivocally identified with target classes is chosen from each bunch to shape a subset of elements. Elements in various groups are generally free; the bunching based system of FAST has a high likelihood of creating a subset of helpful and autonomous elements. To guarantee the proficiency of FAST, we receive the productive least crossing tree grouping technique", "lang": "en" }, "license": { "url": "https://creativecommons.org/licenses/by/4.0/", "start": "2018-09-26", "applies_to": "vor" }, "references": [ { "key": "ref1", "unstructured": "Almuallim H. and Dietterich T.G., Algorithms for Identifying Relevant Features, In Proceedings of the 9th Canadian Conference on AI, pp 38-45, 1992" }, { "key": "ref2", "unstructured": "Arauzo-Azofra A., Benitez J.M. and Castro J.L., A feature set measure based on relief, In Proceedings of the fifth international conference on Recent Advances in Soft Computing, pp 104- 109, 2004" }, { "key": "ref3", "doi": "10.1023/a:1007612503587", "unstructured": "Bell D.A. and Wang, H., A formalism for relevance and its application in feature subset selection, Machine Learning, 41(2), pp 175-195, 2000" }, { "key": "ref4", "doi": "10.1007/978-3-540-75175-5_30", "unstructured": "Biesiada J. and Duch W., Features election for high-dimensionaldatała Pearson redundancy based filter, AdvancesinSoftComputing, 45, pp 242C249, 2008" }, { "key": "ref5", "doi": "10.1109/icdm.2005.106", "unstructured": "Butterworth R., Piatetsky-Shapiro G. and Simovici D.A., On Feature Selection through Clustering, In Proceedings of the Fifth IEEE international Conference on Data Mining, pp 581-584, 2005" }, { "key": "ref6", "doi": "10.1016/b978-1-55860-307-3.50010-1", "unstructured": "Cardie, C., Using decision trees to improve case-based learning, In Proceedings of Tenth International Conference on Machine Learning, pp 25-32, 1993" }, { "key": "ref7", "doi": "10.1109/icdm.2005.106", "unstructured": "Butterworth R., Piatetsky-Shapiro G. and Simovici D.A., On Feature Selection through Clustering, In Proceedings of the Fifth IEEE international Conference on Data Mining, pp 581-584, 2005" } ], "record": { "registrant": "Longman Publishers", "registered": "2026-09-08", "updated": "2026-09-20", "issue_number": 1, "source": "crossref-api", "source_agency": "Crossref (member 25296)" } }, "record_sha256": "a724479b18296dd79c74a29962e20c6d0d50bdba0460a624f4f60a281f43995f", "handle": { "synced_at": "2026-10-01 18:13:37", "url": "https://www.jst.org.in/index.php/pub/article/view/175" }, "links": { "record_page": "https://registry.smartscholars.in/record.php?doi=10.46243%2Fjstj.2018.v3.i5.175", "system_metadata": "https://registry.smartscholars.in/resolve.php?doi=10.46243%2Fjstj.2018.v3.i5.175&as=system", "history": "https://registry.smartscholars.in/api.php?action=history&doi=10.46243%2Fjstj.2018.v3.i5.175", "kernel_xml": "https://registry.smartscholars.in/resolve.php?doi=10.46243%2Fjstj.2018.v3.i5.175&as=xml" } }