10.46243/jstj.2019.v4.i6.88 registered
DETECTION OF CREDIT CARD FRAUD WITH RANDOM FOREST ALOGIRITHAM
Resolves to https://www.jst.org.in/index.php/pub/article/view/88
Held by Longman Publishers (India) · prefix 10.46243 live · DOI address https://doi.org/10.46243/jstj.2019.v4.i6.88
Registered 29 Sep 2026 via crossref · record version 2 · last change 29 Sep 2026, 11:59 PM · record sha256 585d7c30910b26db…
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What the DOI identifies
JournalArticle — an article in a journal · Digital · Visual · en
DETECTION OF CREDIT CARD FRAUD WITH RANDOM FOREST ALOGIRITHAM (PrincipalTitle)
Published 2019-11-01
Part of Journal of Science & Technology · ISSN 2456-5660 · volume 04 · issue 06 · pages 37–41
Agents
- Dr.D.Sharada Mani (author)
- Mrs.M.Lakshmi Tirupathamma (author)
- Longman Publishers (publisher)
Identifiers DOI 10.46243/jstj.2019.v4.i6.88
Abstract
Real-world credit card fraud detection is the primary emphasis of the project. Credit card fraud has lately increased dramatically as a result of the amazing surge in the number of transactions. The goal is to get something without paying for it or to get money out of a bank account without authorization. All credit card issuers must now have effective fraud detection systems in order to reduce their losses. Making the business is a major difficulty since no cardholder or card must be present for a transaction to be completed.. Merchants are unable to determine if a consumer presenting their card is in fact the legitimate owner. It is possible to increase the accuracy of fraud detection by using the suggested technique, which makes use of a random forest. The random forest technique is used to analyse a data set and the current dataset of the user. Finally, improve the precision of the output data. The accuracy, sensitivity, specificity, and precision of the procedures are assessed. Processed characteristics are used to identify fraud, and a graphical model depiction is presented. The accuracy, sensitivity, specificity, and precision of the procedures are assessed.
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/jstj.2019.v4.i6.88 | doi |
| Referent Type referentType | Creation | referent |
| Referent Sub-Type referentSubType | JournalArticle — an article in a journal | type |
| Referent Name(s) referentName(s) | DETECTION OF CREDIT CARD FRAUD WITH RANDOM FOREST ALOGIRITHAM (PrincipalTitle, en) | titles |
| Basic Metadata basicMetadata | author: Dr.D.Sharada Mani author: Mrs.M.Lakshmi Tirupathamma publisher: Longman Publishers published: 2019-11-01 part of: Journal of Science & Technology · ISSN 2456-5660 · vol. 04 · no. 06 · pp. 37–41 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 | 2026-09-07 | 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) | 78 fields set · sha256 762ecb92e79f… |
| 2 | 29 Sep 2026, 11:59 PM | update record re-read from api.crossref.org | Administrator (admin) | container.titles.0.value: |
Machine-readable: the history as JSON, with the full record after each change.
