{ "ok": true, "doi": "10.46243/jst.2024.v8.i9.pp1-8", "doi_display": "10.46243/jst.2024.v8.i9.pp1-8", "doi_url": "https://doi.org/10.46243/jst.2024.v8.i9.pp1-8", "state": "registered", "url": "https://www.jst.org.in/index.php/pub/article/view/993", "title": "A Method for Vibration Testing Decision Tree-Based Classification Systems", "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 22:00:32", "updated_at": "2026-09-29 23:59:51", "withdrawn_at": null, "withdrawn_reason": null, "record": { "format": "smartscholars-doi-metadata/1.0", "doi": "10.46243/jst.2024.v8.i9.pp1-8", "referent": "Creation", "type": "JournalArticle", "structural_type": "Digital", "modes": [ "Visual" ], "characters": [ "Language" ], "titles": [ { "value": "A Method for Vibration Testing Decision Tree-Based Classification Systems", "type": "PrincipalTitle", "lang": "en" } ], "identifiers": [ { "type": "DOI", "value": "10.46243/jst.2024.v8.i9.pp1-8" } ], "agents": [ { "role": "author", "name": { "given": "", "family": "B.Siva" }, "sequence": "first" }, { "role": "author", "name": { "given": "", "family": "Ruhi" }, "sequence": "additional" }, { "role": "publisher", "name": { "org": "Longman Publishers" } } ], "dates": { "published": "2023-09-07", "date_type": "PublicationDate", "online": "2023-09-07" }, "language": "en", "container": { "type": "Journal", "titles": [ { "value": "Journal of Science & Technology", "type": "PrincipalTitle" } ], "identifiers": [ { "type": "ISSN", "value": "2456-5660", "medium": "electronic" } ], "volume": "08", "issue": "09", "pages": { "first": "01", "last": "08" } }, "links": [ { "url": "https://www.jst.org.in/index.php/pub/article/view/993", "return_type": "text/html", "primary": true }, { "url": "https://www.jst.org.in/index.php/pub/article/download/993/894", "purpose": "text-mining", "return_type": "application/pdf" }, { "url": "https://www.jst.org.in/index.php/pub/article/download/993/1628", "purpose": "text-mining", "return_type": "application/xml" }, { "url": "https://jst.org.in/index.php/pub/article/view/993/894", "purpose": "similarity-checking" } ], "abstract": { "value": "\"Without any intervention from a person, computers are capable of \"learning\" new things by analyzing data in various ways (training and testing) and making conclusions. One application of ML is decision trees. Many diverse disciplines make use of decision tree techniques. These algorithms have a wide variety of potential applications, including search engines, text extraction, and companies that provide medical certifications. Decision tree algorithms that are both accurate and affordable are now at our fingertips. Whenever a choice is necessary, it is critical to know what the best choice is. We present three decision tree algorithms in this study: ID3, C4.5, and CART. We use tools like WEKA, ML, and DT.", "lang": "en" }, "license": { "url": "https://creativecommons.org/licenses/by/4.0/", "start": "2023-09-07", "applies_to": "vor" }, "references": [ { "key": "ref1", "unstructured": "“A survey of the research on multi-label learning algorithms,” Technical Report, Oregon State University, Corvallis, OR, Dec. 2010" }, { "key": "ref2", "doi": "10.17706/jsw.10.12.1367-1374", "unstructured": "O. Akcayol Yuldiz, A. Utku, and U. K. Utku, “Decision-Tree-Based Recommendation System with Implicit Relevance Feedback Implementation,” Journal of Safety and Health, vol. 10, no. 12, pp. 1367–1374, Dec. 2015" }, { "key": "ref3", "unstructured": "A. Gershman, A. Meisels, T. Lüke, L. Rokach, A. Schclar, and A. Sturm, “A Recommender System Based on Decision Trees,” International Institute of Cognitive Science, vol. 17, no. 3, Jun. 2010" }, { "key": "ref4", "unstructured": "S. D. Jadhav and H. P. Channe, “A collaborative filtering decision tree classifier is an effective recommendation system,” International Journal of Engineering Research and Technology, vol. 3, pp. 2113–2118, 2016" }, { "key": "ref5", "doi": "10.1145/2467696.2467786", "unstructured": "J. Beel, S. Langer, M. Genzmehr, and A. Nürnberger, “Introducing Docear’s approach of recommending scholarly articles,” in Proceedings of the ACM/IEEE-CS Joint Conference on Digital Libraries (JCDL), Jul. 2013" }, { "key": "ref6", "unstructured": "X. Zhou and S. Jiang, “Decision tree learning using a similarity split-off criterion,” Journal of Software (JSW), vol. 7, no. 8, pp. 1775–1782, Aug. 2012" }, { "key": "ref7", "unstructured": "N. Mathuria, N. Bhargava, R. Bhargava, and G. Sharma, “An investigation into data mining decision trees using the j48 algorithm,” International Journal of Advanced Research in Computer Science and Software Engineering (IJARCSEE), vol. 3, no. 6, Jun. 2013" } ], "record": { "registrant": "Longman Publishers", "registered": "2026-08-27", "updated": "2026-09-20", "issue_number": 1, "source": "crossref-api", "source_agency": "Crossref (member 25296)" } }, "record_sha256": "a001d26b19180ad49476b70f0b0cba695e711785440800c1e80e666bf49b9f5c", "handle": { "synced_at": "2026-10-01 18:12:58", "url": "https://www.jst.org.in/index.php/pub/article/view/993" }, "links": { "record_page": "https://registry.smartscholars.in/record.php?doi=10.46243%2Fjst.2024.v8.i9.pp1-8", "system_metadata": "https://registry.smartscholars.in/resolve.php?doi=10.46243%2Fjst.2024.v8.i9.pp1-8&as=system", "history": "https://registry.smartscholars.in/api.php?action=history&doi=10.46243%2Fjst.2024.v8.i9.pp1-8", "kernel_xml": "https://registry.smartscholars.in/resolve.php?doi=10.46243%2Fjst.2024.v8.i9.pp1-8&as=xml" } }