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International Journal of Business Intelligence and Data Mining - Inderscience | 2021 Cite Score:0.8|Q4

International Journal of Business Intelligence and Data Mining With Cite Score

Cite Score and Journal Rank of International Journal of Business Intelligence and Data Mining


IJBIDM provides a forum for state-of-the-art developments and research as well as current innovative activities in business intelligence, data analysis and mining. Intelligent data analysis provides powerful and effective tools for problem solving in a variety of business modelling tasks. IJBIDM highlights intelligent techniques used for business modelling, including all areas of data visualisation, data pre-processing (fusion, editing, transformation, filtering, sampling), data engineering, data mining techniques, tools and applications, neurocomputing, evolutionary computing, fuzzy techniques, expert systems, knowledge filtering, and post-processing.

Journal Home:  Journal Homepage

Editor-in-Chief:  Dr. Mahardhika Pratama

scope: Data extraction/reporting/cleaning/pre-processing OLAP, decision analysis, causal modelling Reasoning under uncertainty, noise in data Business intelligence cycle Model specification/selection/estimation Web technology, mining, agents Fuzzy, neural, evolutionary approaches Genetic algorithms, machine learning, expert/hybrid systems Bayesian inference, bootstrap, randomisation Exploratory/automated data analysis Knowledge-based analysis, statistical pattern recognition

Print ISSN:  1743-8187

Electronic ISSN:  1743-8195

Abstracting and Indexing:  Scopus

Imapct Factor :  

Subject Area and Category:  Business, Management and Accounting,Management Information Systems,Decision Sciences,Information Systems and Management

Publication Frequency:  

H Index:  20

Best Quartile:




Q4:  Statistics, Probability and Uncertainty

Cite Score:  0.8

SNIP:   0.308

Journal Rank(SJR):  0.187

Publisher:  Inderscience Enterprises Ltd

Country:  United Kingdom