ISSN: 1862-5347

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Advances in Data Analysis and Classification Q1 Unclaimed

Springer Verlag Germany

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Advances in Data Analysis and Classification is a journal indexed in SJR in Applied Mathematics and Computer Science Applications with an H index of 36. It has a price of 2390 €. It has an SJR impact factor of 0,853 and it has a best quartile of Q1. It is published in English. It has an SJR impact factor of 0,853.

Type: Journal

Type of Copyright:

Languages: English

Open Access Policy: Open Choice

Type of publications:

Publication frecuency: -

Categories: Applied Mathematics (Q1) Computer Science Applications (Q2) Statistics and Probability (Q2)

Price

2390 €

Inmediate OA

NPD

Embargoed OA

0 €

Non OA

Metrics

Advances in Data Analysis and Classification

0,853

SJR Impact factor

36

H Index

68

Total Docs (Last Year)

130

Total Docs (3 years)

2803

Total Refs

286

Total Cites (3 years)

121

Citable Docs (3 years)

2.1

Cites/Doc (2 years)

41.22

Ref/Doc

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Aims and Scope

Best articles by citations

Generalized marginal homogeneity model and its relation to marginal equimoments for square contingency tables with ordered categories

Efficient regularized spectral data embedding

Unifying data units and models in (co-)clustering

A review of robust clustering methods

Exploration of the variability of variable selection based on distances between bootstrap sample results

Constrained principal component analysis of standardized data for biplots with unit-length variable vectors

Second special issue on "Advances in latent variables: methods, models and applications"

Threshold optimization for classification in imbalanced data in a problem of gamma-ray astronomy

Plastic card fraud detection using peer group analysis

Variable selection in discriminant analysis based on the location model for mixed variables

Editorial

Variable selection in model-based clustering using multilocus genotype data

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A robust spatial autoregressive scalar-on-function regression with t-distribution

Strategies evaluation in environmental conditions by symbolic data analysis: application in medicine and epidemiology to trachoma

Editorial

Consensus of partitions : a constructive approach

A DC programming approach for feature selection in support vector machines learning

Classification in music research

Linear dimension reduction in classification: adaptive procedure for optimum results

Is-ClusterMPP: clustering algorithm through point processes and influence space towards high-dimensional data

Pruning boxes in a box-based classification method

Robust model-based clustering via mixtures of skew-t distributions with missing information

A global algorithm to estimate the expectations of the components of an observed univariate mixture

A diffusion model for churn prediction based on sociometric theory