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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

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:

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:  4
H Index:  14
Best Quartile:




Q4:  Modeling and Simulation

Journal Home:  Journal Homepage
Cite Score:  1
SNIP:  0.372
Journal Rank(SJR):  0.151
Publisher & Country:

Publisher:  Inderscience Publishers

Country:  Switzerland