10.46243/jst.2022.v7.i03.pp107-112 registered
Association Rule Generation for Student Performance Analysis usingApriori Algorithm
Resolves to https://www.jst.org.in/index.php/pub/article/view/426
Held by Longman Publishers (India) · prefix 10.46243 live · DOI address https://doi.org/10.46243/jst.2022.v7.i03.pp107-112
Registered 29 Sep 2026 via crossref · record version 2 · last change 29 Sep 2026, 11:59 PM · record sha256 acb0f39c961e0b96…
Resolve ⬇ Record (JSON) ⬇ Kernel Metadata Declaration (XML) Compare with Crossref Cite (APA · BibTeX · RIS · CSL)
What the DOI identifies
JournalArticle — an article in a journal · Digital · Visual · en
Association Rule Generation for Student Performance Analysis usingApriori Algorithm (PrincipalTitle)
Published 2022-05-25
Part of Journal of Science & Technology · ISSN 2456-5660 · volume 7 · issue 3 · pages 107–112
Agents
- G V S Ch S L V Prasad G V S Ch S L V Prasad (author)
- Longman Publishers (publisher)
Identifiers DOI 10.46243/jst.2022.v7.i03.pp107-112
Abstract
The objective of the educational institution that is producing good results in their academic exams can be achieved by using the data mining techniques which can be applied to predict the performance of the students and to impart the quality of education in the educational institutions. Data mining is used to extract meaningful information and to develop relationships among variables stored in large data set. In this paper, Apriori algorithm is used which extracts the set of rules, specific to each class and analyzes the given data to classify the student based on their performance in academics. Students are classified based on their involvement in doing assignment, internal assessment tests, attendance etc., which helps to predict the performance of the student based on the pattern extracted from the educational database. This would help to identify the average and below average students and to improve their performance to provide good results. This analysis further helps matching organization„s requirement with students profile to provide placement for the students. Also, the interestingness of a rule is measured using lift in itself and as a part in formulae. The range of values that lift may take is used to normalize lift so that it is more effecti ve as a measure of interestingness. This standardization is extended to account for minimum support and confidence thresholds
System metadata — ISO 26324:2025, Annex B · DOI Handbook 10.1
Each element by the standard's name (Annex B: reference elements, then administrative) and the Handbook's (in grey), read off the record above.
| Element | Value | In the record |
|---|---|---|
| DOI Name DOI name | 10.46243/jst.2022.v7.i03.pp107-112 | doi |
| Referent Type referentType | Creation | referent |
| Referent Sub-Type referentSubType | JournalArticle — an article in a journal | type |
| Referent Name(s) referentName(s) | Association Rule Generation for Student Performance Analysis usingApriori Algorithm (PrincipalTitle, en) | titles |
| Basic Metadata basicMetadata | author: G V S Ch S L V Prasad G V S Ch S L V Prasad publisher: Longman Publishers published: 2022-05-25 part of: Journal of Science & Technology · ISSN 2456-5660 · vol. 7 · no. 3 · pp. 107–112 language: en form: Digital · Visual · Language | agents, dates, container, language, structural_type, modes, characters |
| Referent Identifier(s) alternateIdentifier(s) | none besides the DOI | identifiers, relations (IsSameAs) |
| Registration Authority registrationAuthorityCode | Crossref — issued by Crossref (member 25296); held here as a copy | record.source_agency (our code, ra_doi_name, for names issued here once appointed) |
| Created Date issueDate | 2024-02-16 | record.registered (when the DOI name was first registered) |
| relatedIdentifiers | none needed — the descriptive metadata is in this record | container, relations (only where the descriptive metadata lives at another identifier) |
complete Every System Metadata element is here, with the basic metadata a journal article needs.
The System Metadata Declaration (JSON) · the Kernel Metadata Declaration (XML) · what each sub-type needs
History — the ledger
Every change to this DOI, in order, as it was recorded. Entries are only ever added, never changed or removed.
| # | When | What | By | Changes |
|---|---|---|---|---|
| 1 | 29 Sep 2026, 10:00 PM | register registered at Crossref; record read from api.crossref.org | Administrator (admin) | 94 fields set · sha256 8d6153520e60… |
| 2 | 29 Sep 2026, 11:59 PM | update record re-read from api.crossref.org | Administrator (admin) | agents.0.name.family: agents.0.name.given: container.titles.0.value: |
Machine-readable: the history as JSON, with the full record after each change.
