International Journal of Data Mining, Modelling and Management
Inderscience · Switzerland · Est. 2008
✓ Indexed in the Web of Science Core Collection (ESCI) — Clarivate publishes an official Journal Impact Factor and JCR quartile for this journal.
See the official Impact Factor & quartile on the journal’s page ↗The Impact Factor & JCR quartile are licensed by Clarivate — we link you to the official source instead of reprinting a number that can go out of date. Open metrics below: SCImago Q4 · Scopus CiteScore 1.2. Source: Clarivate Journal Citation Reports.
Aims & Scope
Facilitating transformation from data to information to knowledge is paramount for organisations. Companies are flooded with data and conflicting information, but with limited real usable knowledge. However, rarely should a process be looked at from limited angles or in parts. Isolated islands of data mining, modelling and management (DMMM) should be connected. IJDMMM highlightes integration of DMMM, statistics/machine learning/databases, each element of data chain management, types of information, algorithms in software; from data pre-processing to post-processing; between theory and applications. IJDMMM aims to provide a professional forum for formulating, discussing and disseminating these solutions, which relate to the design, development, deployment, management, measurement, and adjustment of data warehousing, data mining, data modelling, data management, and other data analysis techniques. They should form a common ground on which a data chain management system can be built, shared and supported by professionals from different disciplines. IJDMMM provides a communication channel between practitioners and academics to discuss problems, challenges and opportunities in all aspects of data mining, data modelling, data analysis, and data management. The process of knowledge creation can include multiple components, including data acquisition/collection, data accumulation, data maturation, data selection and refining, data storage and retrieval, data pre-processing, data analysis and validation, data maintenance and data presentation, data warehousing, data mining and/or modelling, and information extraction. Therefore, data chain management cannot be isolated, separated, broken, or ignored. It is an integrated and interconnected process.
General Information
Submission Info
Ethics & Quality
Think.Check.Submit Compliance
A twelfth criterion — whether APC fees are clearly disclosed — is not scored here; it is left out of the total rather than counted as a failure. Publication charges appear in the metrics card above.
Based on the Think.Check.Submit framework by DOAJ, COPE & OASPA. All data from verified open sources.
Publication & Citation Trend
Source: OpenAlex · Each year’s green bar = citations earned by that year’s papers, counted to date — so recent years look lower simply because their papers haven’t had time to be cited yet.
SJR Quartile by Discipline
Scimago ranks this journal separately in each subject category — its quartile can differ by discipline.
Subject Classification
Web of Science Categories
Scopus Categories
Research Topics (OpenAlex)
Frequently asked questions about International Journal of Data Mining, Modelling and Management
Is International Journal of Data Mining, Modelling and Management a predatory journal?
PubScope has no integrity flags on record for International Journal of Data Mining, Modelling and Management: it is indexed in Web of Science, Scopus, and is not on DOAJ's withdrawn list. Indexing is a transparency signal, not a guarantee — always confirm fit and policies before submitting.
What is the impact factor of International Journal of Data Mining, Modelling and Management?
International Journal of Data Mining, Modelling and Management is indexed in the Web of Science Core Collection, so Clarivate publishes an official Journal Impact Factor for it (since the 2023 Journal Citation Reports, every Core Collection journal — including Arts & Humanities and Emerging Sources titles — receives one). PubScope links to Clarivate's official source rather than reprinting the number, which can be out of date. As an open alternative, its Scopus CiteScore is 1.2.
Is International Journal of Data Mining, Modelling and Management indexed in Scopus and Web of Science?
International Journal of Data Mining, Modelling and Management is indexed in Web of Science, Scopus.
What is the aims and scope of International Journal of Data Mining, Modelling and Management?
Facilitating transformation from data to information to knowledge is paramount for organisations. Companies are flooded with data and conflicting information, but with limited real usable knowledge. However, rarely should a process be looked at from limited angles or in parts. Isolated islands of data mining, modelling and management (DMMM) should be connected. IJDMMM highlightes integration of DMMM, statistics/machine learning/databases, each element of data chain management, types of information, algorithms in software; from data pre-processing to post-processing; between theory and applicat
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See all →Data updated: 2026-05-22 · Sources: SJR, DOAJ, OpenAlex, WoS, Crossref