ISSN: 1743-8187

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International Journal of Business Intelligence and Data Mining Q3 Unclaimed

Inderscience Enterprises Ltd United Kingdom

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International Journal of Business Intelligence and Data Mining is a journal indexed in SJR in Statistics, Probability and Uncertainty and Management Information Systems with an H index of 22. It has an SJR impact factor of 0,224 and it has a best quartile of Q3. It has an SJR impact factor of 0,224.

Type: Journal

Type of Copyright:

Languages:

Open Access Policy:

Type of publications:

Publication frecuency: -

Categories: Information Systems and Management (Q3) Management Information Systems (Q4) Statistics, Probability and Uncertainty (Q4)

Price

- €

Inmediate OA

NPD

Embargoed OA

- €

Non OA

Metrics

International Journal of Business Intelligence and Data Mining

0,224

SJR Impact factor

22

H Index

31

Total Docs (Last Year)

168

Total Docs (3 years)

1137

Total Refs

148

Total Cites (3 years)

168

Citable Docs (3 years)

0.77

Cites/Doc (2 years)

36.68

Ref/Doc

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Aims and Scope

Best articles by citations

Advanced Matrix Algorithm (AMA): reducing number of scans for association rule generation

Quantitative assessments of the spatial distribution of business clusters in Ireland

Bankruptcy prediction for Japanese firms: using Multiple Criteria Linear Programming data mining approach

Modelling the characteristics of virtual teams' structure

Association mining of dependency between time series using Genetic Algorithm and discretisation

Category mapping for the automatic integration of category-constrained web search

Towards service-oriented recommendation functionalities within pervasive e-learning systems

When to choose an ensemble classifier model for data mining

Understanding the structure of terrorist networks

EIDBSCAN: An Extended Improving DBSCAN algorithm with sampling techniques

Application of association rules mining to Named Entity Recognition and co-reference resolution for the Indonesian language

ReliefMSS: a variation on a feature ranking ReliefF algorithm

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Efficient clustering technique for regionalisation of a spatial database

Reduced representations of Emerging Cubes for OLAP database mining

Fostering collaborative knowledge building by the effective provision of knowledge about the discussion process

Mining convergent and divergent sequences in multidimensional data

Information retrieval on documents methodology based on entropy filtering methodologies

Using grouping strategy and pattern discovery for delta extraction in a limited collaborative environment

Cluster analysis on time series gene expression data

Nearest neighbour approach with non-parametric regression analysis for multiple time-series modelling and predictions

Embedded indicators to facilitate the exploration of a data cube

Privacy preserving data mining using hiding maximum utility item first algorithm by means of grey wolf optimisation algorithm

High dimensional sentiment classification of product reviews using evolutionary computation

Process-driven Data Analytics supported by a Data Warehouse Model