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International Journal of Data Analysis Techniques and Strategies


Many current data analysis techniques are beyond the reach of most managers and practitioners. Obscure maths and daunting algorithms have created an impassable chasm for problem solvers and decision makers. IJDATS bridges three gaps: firstly, a gap between academic ivory tower and the real world; secondly, a gap between quantitative data analysis techniques and qualitative data analysis techniques; and finally, a gap between a specific technique and an overall strategy.

Journal Home:  Journal Homepage

Editor-in-Chief:  Prof. John Wang

scope: Basic/advanced statistics, Bayesian networks, queuing theory Data warehousing/mining Dempster-Shafer theory, mathematical programming Fuzzy sets/logic, genetic algorithms, neural networks Game theory, machine leaning, OLAP, rough set theory, SVM Quality control, alternative (authentic) assessment

Print ISSN:  1755-8050

Electronic ISSN:  1755-8069

Abstracting and Indexing:  SCOPUS

Imapct Factor :  

Subject Area and Category:   Computer Science Information Systems Decision Sciences Information Systems and Management Mathematics Applied Mathematics

Publication Frequency:  

H Index:  15

Best Quartile:



Q3:  Information Systems and Management


Cite Score:  1.3

SNIP:  0.603

Journal Rank(SJR):  0.245

Publisher:  Inderscience Enterprises Ltd

Country:  United Kingdom