verified SJR 0,15 · Q4 • database Scopus / SJR indexed

United Kingdom · Inderscience Enterprises Ltd

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International Journal of Business Intelligence and Data Mining

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 24. It has an SJR impact factor of 0,15 and it has a best quartile of Q4. It has an SJR impact factor of 0,15.

ISSN: 1743-8187

Publisher: Inderscience Enterprises Ltd

Category: Statistics, Probability and Uncertainty

Indexation: verifiedScopus / SJR

open_in_new Portal NPD menu_book Guidelines NPD

schedule CountryOfPapers database fields

SJR Impact Factor trending_up

0,15 Q4

H-index 24

Acceptance rate pie_chart

41%

Source Acceptance_Rate

Time to publication hourglass_top

NPD

Field NPD

Publication cost (APC) payments

NPD Subscription

Non-OA path NPD

Metrics

Scimago and CountryOfPapers database fields

Scopus / SJR

SJR Impact

0,15

H-index

Docs (year)

Docs 3y

142

Total refs

1100

Cites 3y

Citable 3y

142

Cites/Doc 2y

0.53

Ref/Doc

24.44

Immediate OA

—

Embargoed OA

NPD

Non OA / Submission

—

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Best articles by citations

A unified framework for protecting sensitive association rules in business collaboration

XML web quality analysis by employing MFCM clustering Technique and KNN classification

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

Association-rule knowledge discovery by using a fuzzy mining approach

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

Appraisal of companies with Bayesian networks

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

Analysis and Prediction of Heart Disease Aid of Various Data Mining Techniques: A Survey

An XML-enabled data mining query language: XML-DMQL

An incremental data mining algorithm for discovering web access patterns

An efficient method for motif and anomaly detection in time series based on clustering

An efficient clustering approach for fair semantic web content retrieval via tri-level ontology construction model with hybrid dragonfly algorithm

SHOW MORE ARTICLES

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

A clustering method of bloggers based on social annotations

A stochastic nature inspired metaheuristic for clustering analysis

A novel visualisation and interaction technique for exploring multidimensional data

A Multi-Objective Analysis Model in Mass Real Estate Appraisal

A marketable quality and profitability model: a case study for Japanese corporations

A marketable quality and profitability model for corporations considering sellers and buyers market

A hybrid framework for similarity-based recommendations

A family of Extended Fuzzy Description Logics

A distributed cross layer recommender system incorporating product diffusion

A data mining approach to assessing the extent of damage of missing values in survey

A data analysis model based on control charts to monitor online learning processes

FAQs

International Journal of Business Intelligence and Data Mining has an SJR of 0,15 (best quartile Q4) in the CountryOfPapers database.

Immediate OA APC is not available (NPD).

The acceptance rate recorded for International Journal of Business Intelligence and Data Mining is 41%.

International Journal of Business Intelligence and Data Mining

Metrics

Name good journals. Call out predatory ones.

Researcher reviews

Best articles by citations

FAQs

What is the SJR of International Journal of Business Intelligence and Data Mining?

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What is the acceptance rate?