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International Journal of Data Mining, Modelling and Management - Inderscience | 2021 Cite Score:1.0|Q4

International Journal of Data Mining, Modelling and Management With Cite Score

Cite Score and Journal Rank 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 applications.

Journal Home:  Journal Homepage

Editor-in-Chief:  Prof. John Wang

scope: Artificial intelligence Biomedical science Business analytics/intelligence, process modelling Computer science, database management systems Data management, mining, modelling, warehousing Engineering Environmental science, environment (ecoinformatics) Information systems/technology, telecommunications/networking Management science, operations research, mathematics/statistics Social sciences

Print ISSN:  1759-1163

Electronic ISSN:  1759-1171

Abstracting and Indexing:  Scopus

Imapct Factor :  

Subject Area and Category:  Business, Management and Accounting,Management Information Systems,Computer Science,Computer Science Applications,Mathematics,Modeling and Simulation

Publication Frequency:  

H Index:  14

Best Quartile:




Q4:  Modeling and Simulation

Cite Score:  1.0

SNIP:  0.22

Journal Rank(SJR):  0.182

Publisher:  Inderscience Publishers

Country:  Switzerland