Kernel Metadata Declaration — on demand
ISO 26324 asks a DOI Registration Agency to produce a Kernel Metadata Declaration for every DOI it issues. Give any DOI: its public record becomes a record in the Smart Scholars DOI Metadata Format 1.0, checked against every rule, and declared as the Kernel XML.
✓ Meets every rule of the format
The record below is complete and every controlled value is a DOI Attribute Value Set 2.3 spelling. The Declaration on the right follows DOIMetadataKernel.xsd element by element.
What the DOI identifies
Decision Tree Analysis on J48 Algorithm for Data Mining
10.46243/jst.2022.v7.i05.pp200-205 · JournalArticle — an article in a journal · Digital · Visual · Language · en
Published 2023-07-18
Part of Journal of Science & Technology · ISSN 2456-5660 · vol. 7 · no. 5 · pp. 200–205
Principal agents
- Dr.G.Manikanta Dr.G.Manikanta (author → Author)
- Longman Publishers (publisher → Publisher)
Also in the record, outside the Kernel: the abstract, the licence, 4 links, 15 references. Source: Crossref (member 25296), registered 2024-02-16, last deposited 2026-09-17.
System metadata — ISO 26324:2025, Annex B · DOI Handbook 10.1
Each element by the standard's name and the Handbook's (in grey), read off the record.
| DOI Name DOI name | 10.46243/jst.2022.v7.i05.pp200-205 |
| Referent Type referentType | Creation |
| Referent Sub-Type referentSubType | JournalArticle — an article in a journal |
| Referent Name(s) referentName(s) | Decision Tree Analysis on J48 Algorithm for Data Mining (PrincipalTitle, en) |
| Basic Metadata basicMetadata | author: Dr.G.Manikanta Dr.G.Manikanta publisher: Longman Publishers published: 2023-07-18 part of: Journal of Science & Technology · ISSN 2456-5660 · vol. 7 · no. 5 · pp. 200–205 language: en form: Digital · Visual · Language |
| Referent Identifier(s) alternateIdentifier(s) | none besides the DOI |
| Registration Authority registrationAuthorityCode | Crossref — issued by Crossref (member 25296); held here as a copy |
| Created Date issueDate | 2024-02-16 |
| relatedIdentifiers | none needed — the descriptive metadata is in this record |
The record
{
"format": "smartscholars-doi-metadata/1.0",
"doi": "10.46243/jst.2022.v7.i05.pp200-205",
"referent": "Creation",
"type": "JournalArticle",
"structural_type": "Digital",
"modes": [
"Visual"
],
"characters": [
"Language"
],
"titles": [
{
"value": "Decision Tree Analysis on J48 Algorithm for Data Mining",
"type": "PrincipalTitle",
"lang": "en"
}
],
"identifiers": [
{
"type": "DOI",
"value": "10.46243/jst.2022.v7.i05.pp200-205"
}
],
"agents": [
{
"role": "author",
"name": {
"given": "Dr.G.Manikanta",
"family": "Dr.G.Manikanta"
},
"sequence": "first"
},
{
"role": "publisher",
"name": {
"org": "Longman Publishers"
}
}
],
"dates": {
"published": "2023-07-18",
"date_type": "PublicationDate",
"online": "2023-07-18"
},
"language": "en",
"container": {
"type": "Journal",
"titles": [
{
"value": "Journal of Science & Technology",
"type": "PrincipalTitle"
}
],
"identifiers": [
{
"type": "ISSN",
"value": "2456-5660",
"medium": "electronic"
}
],
"volume": "7",
"issue": "5",
"pages": {
"first": "200",
"last": "205"
}
},
"links": [
{
"url": "https://www.jst.org.in/index.php/pub/article/view/546",
"return_type": "text/html",
"primary": true
},
{
"url": "https://www.jst.org.in/index.php/pub/article/download/546/489",
"purpose": "text-mining",
"return_type": "application/pdf"
},
{
"url": "https://www.jst.org.in/index.php/pub/article/download/546/2054",
"purpose": "text-mining",
"return_type": "application/xml"
},
{
"url": "https://jst.org.in/admin/uploads/Anurag%20JST%2019.pdf",
"purpose": "similarity-checking"
}
],
"abstract": {
"value": "The Data Mining is a technique to drill database for giving meaning to the approachable data. It involves systematic analysis of large data sets. The classification is used to manage data, sometimes tree modelling of data helps to make predictions about ne w data. This research is focussed on J48 algorithm which is used to create Univariate Decision Trees. The research study also discuss about the idea of multivariate decision tree with process of classify instance by using more than one attribute at each internal node. The core concept behind the topic is to get depth knowledge with new areas of research by explore more about data, information, knowledge, data mining techniques, and tools. All the results with experiment on Weka are finally examined",
"lang": "en"
},
"license": {
"url": "https://creativecommons.org/licenses/by/4.0/",
"start": "2023-07-18",
"applies_to": "vor"
},
"references": [
{
"key": "ref1",
"doi": "10.4018/978-1-59140-941-1.ch001",
"unstructured": "Dolado, J. J., D.. Rodríguez, and J. Riquelme. \"A Two Stage Zone Regression Method for Global Characterization of a Project Database.\" (2007): 13. Web. 5 Apr. 2013"
},
{
"key": "ref2",
"doi": "10.1016/j.ins.2003.09.018",
"unstructured": "Berzal, Fernando, Juan-Carlos Cubero, and Nicol as Mar Buinld. in\"g multi-way decision trees with numerical attributes.\" 31. Web. 5 Apr. 2013"
},
{
"key": "ref3",
"unstructured": "Frank, Eibe. \"Pruning Decision Trees and Lists.\" (2000): 218. Web. 5 Apr. 2013"
},
{
"key": "ref4",
"unstructured": "Korting, Thales S. \"C4.5 algorithm and Multivariate Decision Trees.\" 5. Web. 2 Feb. 2013. [5]. Quinlan, J. R. \"Improved Use of Continuous Attributes in C4.5.\" 14. Web. 11 Jan. 2013"
},
{
"key": "ref5",
"unstructured": "JUNEJA, DEEPTI, et al. \"A novel approach to construct decision tree using quick C4.5 algorithm.\" Oriental Journal of Computer Science & Technology Vol. 3(2), 305-310 (2010) (2010): 6. Web. 18 Feb. 2013"
},
{
"key": "ref6",
"unstructured": "Ittner, Andreas, et al. \"Non-Linear Decision Tree-NDT.\" In: Proceeding of 13th international conference on machine learning (ICML''96) 6. Web. 16 Mar. 2013"
},
{
"key": "ref7",
"unstructured": "Moertini, Veronica S. \"TOWARDS THE USE OF C4.5 ALGORITHM FOR CLASSIFYING BANKING DATASET.\" Vol. 8 No. 2, October 2003 (2003): 12. Web. 24 Jan. 2013"
},
{
"key": "ref8",
"unstructured": "Utgoff, Paul E. \"Linear Machine Decision Tree.\" (1991): 15. Web. 6 Feb. 2013"
},
{
"key": "ref9",
"unstructured": "Rokach, Lior, and Oded Maimon. \"DECISION TREES.\" 28. Web. 1 Feb. 2013"
},
{
"key": "ref10",
"unstructured": "“Data Mining” from Wikipedia the free Encyclopedia. Web. <http://en.wikipedia.org/wiki/Data_mining>"
},
{
"key": "ref11",
"unstructured": "Term “INTRODUCTION OF DATA MINING”,”Data Mining: What is Data Mining “, source from http://www.anderson.ucla.edu/faculty/jason.frand/teacher/technologies/palace/datamining.htm"
},
{
"key": "ref12",
"doi": "10.1142/9097",
"unstructured": "Rokach, Lior. \"Data Mining with Decision Trees: Theory and Applications.\" 69 (2008): Web. 3 Feb. 2013"
},
{
"key": "ref13",
"unstructured": "Ga·sperin, Matej. \"Case Study on the use of Data Minig Techniques in Food Science using Honey Samples.\" (February 2007): 18. Web. 8 May 2013"
},
{
"key": "ref14",
"unstructured": "Ozer, Patrick. \"Data Mining Algorithms for Classification.\" (January 2008): 27. Web. 5 May 2013"
},
{
"key": "ref15",
"unstructured": "Gholap, Jay. \"PERFORMANCE TUNING OF J48 ALGORITHM FOR PREDICTION OF SOIL FERTILITY.\" 5. Web. 2 May 2013"
}
],
"record": {
"registrant": "Longman Publishers",
"registered": "2024-02-16",
"updated": "2026-09-17",
"issue_number": 1,
"source": "crossref-api",
"source_agency": "Crossref (member 25296)"
}
}The Kernel Metadata Declaration
DOIMetadataKernel.xsd · namespace http://www.doi.org/2010/DOISchema · Attribute Value Sets 2.3 · draft — the agency's DOI name is filled in on accreditation
<?xml version="1.0" encoding="UTF-8"?>
<!-- DRAFT declaration: Smart Scholars is not yet a DOI Registration Agency. registrationAgencyDoiName is a marker (10.0/ is no RA's prefix) and is filled in on accreditation. -->
<kernelMetadata xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.doi.org/2010/DOISchema https://www.doi.org/doi_schemas/DOIMetadataKernel.xsd" xmlns="http://www.doi.org/2010/DOISchema">
<referentDoiName>10.46243/jst.2022.v7.i05.pp200-205</referentDoiName>
<primaryReferentType>Creation</primaryReferentType>
<registrationAgencyDoiName>10.0/smart-scholars-draft</registrationAgencyDoiName>
<issueDate>2026-10-04</issueDate>
<issueNumber>1</issueNumber>
<referentCreation>
<name primaryLanguage="en">
<value>Decision Tree Analysis on J48 Algorithm for Data Mining</value>
<type>PrincipalTitle</type>
</name>
<identifier>
<nonUriValue>10.46243/jst.2022.v7.i05.pp200-205</nonUriValue>
<uri returnType="text/html" doesContentNegotiation="true">https://doi.org/10.46243/jst.2022.v7.i05.pp200-205</uri>
<type>DOI</type>
</identifier>
<identifier>
<uri returnType="text/html">https://www.jst.org.in/index.php/pub/article/view/546</uri>
<type>URI</type>
</identifier>
<identifier>
<uri>https://www.jst.org.in/index.php/pub/article/download/546/489</uri>
<type>URI</type>
</identifier>
<identifier>
<uri returnType="application/xml">https://www.jst.org.in/index.php/pub/article/download/546/2054</uri>
<type>URI</type>
</identifier>
<identifier>
<uri>https://jst.org.in/admin/uploads/Anurag%20JST%2019.pdf</uri>
<type>URI</type>
</identifier>
<structuralType>Digital</structuralType>
<mode>Visual</mode>
<character>Language</character>
<type>JournalArticle</type>
<principalAgent>
<name>
<value>Dr.G.Manikanta Dr.G.Manikanta</value>
<type>PrincipalName</type>
</name>
<role>Author</role>
</principalAgent>
<principalAgent>
<name>
<value>Longman Publishers</value>
<type>PrincipalName</type>
</name>
<role>Publisher</role>
</principalAgent>
<linkedCreation>
<name>
<value>Journal of Science & Technology</value>
<type>PrincipalTitle</type>
</name>
<identifier>
<nonUriValue>2456-5660</nonUriValue>
<type>ISSN</type>
</identifier>
<referentCreationRole>Part</referentCreationRole>
<referentCreationSequenceIdentifier>
<value>7</value>
<type>VolumeNumber</type>
</referentCreationSequenceIdentifier>
<referentCreationSequenceIdentifier>
<value>5</value>
<type>IssueNumber</type>
</referentCreationSequenceIdentifier>
<referentCreationSequenceIdentifier>
<value>200-205</value>
<type>PageNumber</type>
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</linkedCreation>
<language>en</language>
<languageOfReferentContent>
<language>en</language>
<languageOfReferentContentType>Original</languageOfReferentContentType>
</languageOfReferentContent>
<creationDate>
<date>2023-07-18</date>
<creationDateType>PublicationDate</creationDateType>
</creationDate>
</referentCreation>
</kernelMetadata>
