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
Q1:
Q2:
Q3: Information Systems and Management
Q4:
Cite Score: 1.3
SNIP: 0.603
Journal Rank(SJR): 0.245
Guidelines for Authors: International Journal of Data Analysis Techniques and Strategies Author Guidelines
Publisher: Inderscience Enterprises Ltd
Country: United Kingdom