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International Journal of Data Mining, Modelling and Management

About:

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:  4

H Index:  14

Best Quartile:

Q1:  

Q2:  

Q3:  

Q4:  Modeling and Simulation

Cite Score:  1

SNIP:  0.372

Journal Rank(SJR):  0.151

Publisher:  Inderscience Publishers

Country:  Switzerland