Knowledge Engineering and Data Science
Universitas Negeri Malang
About the journal
Knowledge Engineering and Data Science is an open-access journal published by Universitas Negeri Malang in Indonesia, publishing in english. It is listed in DOAJ according to the sources read. Declared publication charge: 2,000,000 IDR. Declared review time at DOAJ: 8 weeks. Facts are reproduced as recorded at their sources with their capture dates; PublishLens indicators are available after sign-in.
Basic facts
- Publisher
- Universitas Negeri Malang
- ISSN
- 2597-4602 · 2597-4637
- Country
- Indonesia
- Languages
- english
- Access
- Open access
- Declared publication charge
- 2,000,000 IDR
- Articles in DOAJ
- 83
- Declared review time
- 8 weeks
- Declared peer-review model
- peer_review
- Official website
- https://journal2.um.ac.id/index.php/keds/index
Index listings
- DOAJ · 2019-06-24
- Indexing
- DOAJ
- APC
- 2,000,000 IDR
- Declared review time (DOAJ)
- 8 weeks — journal-declared only (not measured)
- Activity (OpenAlex)
- Active — latest works 2025
- PublishLens list status
- Shown after sign-in
- Counts for promotion at your university?
- Choose your university and rank below ↓
Methodology signals (dated facts from their sources)
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Descriptive metadata from public sources (DOAJ, OpenAlex, PubMed) as of the capture date shown — contains no assessment or judgment.
Articles in DOAJ
83
Most recent article
2 years ago
Average review time (journal-declared via DOAJ)
8weeks
Works in OpenAlex
122
Last recorded publication year
2024
h-index
12
i10-index
16
From OpenAlex open data (CC0).
Editorial & policy9
- Last DOAJ review date
- 2024-09-08
- Added to DOAJ
- 2019-06-24
- Declared plagiarism screening
- Declared
- Other fees beyond APC
- No
- Editorial board
- Official page ↗
- Open references deposited at Crossref
- 0%
- ORCID iDs in current deposits
- 0%
- Enrolled in Crossref Similarity Check
- ✓
- Deposits licence metadata at Crossref
- ✓
- Peer-review policy
- View policy
Identity & continuity1
- Source type
- journal
Classification4
Subjects (DOAJ)
LCC codes
Subject areas
- Data Mining and Machine Learning Applications
- Data Mining and Machine Learning Applications
- Computer Science and Engineering
- Computer Science and Engineering
- Edcuational Technology Systems
- Edcuational Technology Systems
- Sentiment Analysis and Opinion Mining
- Sentiment Analysis and Opinion Mining
Show all subjects (50)
- Artificial Intelligence in Healthcare
- Artificial Intelligence in Healthcare
- Stock Market Forecasting Methods
- Imbalanced Data Classification Techniques
- Stock Market Forecasting Methods
- Imbalanced Data Classification Techniques
- Forecasting Techniques and Applications
- Information Retrieval and Data Mining
- Handwritten Text Recognition Techniques
- Handwritten Text Recognition Techniques
- Information Retrieval and Data Mining
- Traffic Prediction and Management Techniques
- Forecasting Techniques and Applications
- Traffic Prediction and Management Techniques
- Customer churn and segmentation
- Topic Modeling
- Cloud Computing and Resource Management
- Image Retrieval and Classification Techniques
- AI in cancer detection
- Face recognition and analysis
- Energy Load and Power Forecasting
- COVID-19 diagnosis using AI
- Customer churn and segmentation
- Face recognition and analysis
- AI in cancer detection
- Image Retrieval and Classification Techniques
- Cloud Computing and Resource Management
- Topic Modeling
- Energy Load and Power Forecasting
- COVID-19 diagnosis using AI
- Data Mining Algorithms and Applications
- Natural Language Processing Techniques
- Face and Expression Recognition
- Text and Document Classification Technologies
- Advanced Neural Network Applications
- Text and Document Classification Technologies
- Advanced Neural Network Applications
- Face and Expression Recognition
- Natural Language Processing Techniques
- Data Mining Algorithms and Applications
- Online Learning and Analytics
- Online Learning and Analytics
Keywords (DOAJ)
- knowledge
- engineering
- practics
- conceptual
- model
Community confirmations — what users saw in MJL or Scopus Sources; not platform verification and never part of any score.
The journal's record in other sources:Web of Science MJLDOAJ