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Advances in Data Analysis and Classification

Advances in Data Analysis and Classification is a scientific journal, published by Springer since 2007 in English. The journal's country of origin is Germany.

Details
Abbr. Adv Data Anal Classif
Publisher Springer
Start 2007
End Continuing
Frequency Three times a year
p-ISSN 1862-5347
e-ISSN 1862-5355
Country Germany
Language English
Metrics
h-index / Ranks: 8879 39
SJR / Ranks: 7585 594
CiteScore / Ranks: 7225 3.70
JIF / Ranks: 5932 1.6
Recent Articles
1.
Browne R, Bagnato L, Punzo A
Adv Data Anal Classif . 2024 Sep; 18(3):597-625. PMID: 39309701
Supplementary Information: The online version contains supplementary material available at 10.1007/s11634-023-00558-2.
2.
Paldino G, Lebichot B, Le Borgne Y, Siblini W, Oble F, Boracchi G, et al.
Adv Data Anal Classif . 2022 Oct; :1-25. PMID: 36188101
The number of daily credit card transactions is inexorably growing: the e-commerce market expansion and the recent constraints for the Covid-19 pandemic have significantly increased the use of electronic payments....
3.
James Ng T, Murphy T
Adv Data Anal Classif . 2022 Aug; 16(3):691-723. PMID: 36043219
A probabilistic model for random hypergraphs is introduced to represent unary, binary and higher order interactions among objects in real-world problems. This model is an extension of the latent class...
4.
Grun B, Malsiner-Walli G, Fruhwirth-Schnatter S
Adv Data Anal Classif . 2022 Jun; 16(2):325-349. PMID: 35726283
In model-based clustering, the Galaxy data set is often used as a benchmark data set to study the performance of different modeling approaches. Aitkin (Stat Model 1:287-304) compares maximum likelihood...
5.
Ferraccioli F, Menardi G
Adv Data Anal Classif . 2022 May; 17(2):323-345. PMID: 35529071
The nonparametric formulation of density-based clustering, known as modal clustering, draws a correspondence between groups and the attraction domains of the modes of the density function underlying the data. Its...
6.
Acal C, Aguilera A
Adv Data Anal Classif . 2022 Apr; 17(2):291-321. PMID: 35432616
The methodological contribution in this paper is motivated by biomechanical studies where data characterizing human movement are waveform curves representing joint measures such as flexion angles, velocity, acceleration, and so...
7.
Fop M, Mattei P, Bouveyron C, Murphy T
Adv Data Anal Classif . 2022 Mar; 16(1):55-92. PMID: 35308632
In supervised classification problems, the test set may contain data points belonging to classes not observed in the learning phase. Moreover, the same units in the test data may be...
8.
Fruhwirth-Schnatter S, Malsiner-Walli G
Adv Data Anal Classif . 2019 Apr; 13(1):33-64. PMID: 31007770
In model-based clustering mixture models are used to group data points into clusters. A useful concept introduced for Gaussian mixtures by Malsiner Walli et al. (Stat Comput 26:303-324, 2016) are...
9.
Gul A, Perperoglou A, Khan Z, Mahmoud O, Miftahuddin M, Adler W, et al.
Adv Data Anal Classif . 2019 Apr; 12(4):827-840. PMID: 30931011
Combining multiple classifiers, known as ensemble methods, can give substantial improvement in prediction performance of learning algorithms especially in the presence of non-informative features in the data sets. We propose...
10.
Scrucca L, Raftery A
Adv Data Anal Classif . 2016 Mar; 9(4):447-460. PMID: 26949421
Initialisation of the EM algorithm in model-based clustering is often crucial. Various starting points in the parameter space often lead to different local maxima of the likelihood function and, so...