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Last updated December, 3 2015 760.408 documents processed, 20.499.313 references and 8.066.571 citations

Advances in Data Analysis and Classification / Springer


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Impact Factor

0.09

5-Years IF

4

5-Years H index

[Raw data] [50 most cited papers] [50 most relevant papers] [cites used to compute IF] [Recent citations ][Frequent citing series ]
[more data in EconPapers] [trace new citations] [Missing citations? Add them now] [Incorrect content? Let us know]

Main indicators


Raw data


IF AIF IF5 DOC CDO CCU CIF CIT D2Y C2Y D5Y C5Y %SC CiY II AII
19900.09000 (%)0.03
19910.09000 (%)0.04
19920.09000 (%)0.04
19930.1000 (%)0.05
19940.11000 (%)0.05
19950.19000 (%)0.07
19960.23000 (%)0.09
19970.27000 (%)0.09
19980.27000 (%)0.1
19990.31000 (%)0.13
20000.39000 (%)0.15
20010.41000 (%)0.16
20020.43000 (%)0.19
20030.45000 (%)0.19
20040.51000 (%)0.21
20050.54000 (%)0.22
20060.52000 (%)0.21
20070.45000 (%)0.18
20080.48885002 (40%)0.2
20090.4820286883 (50%)0.19
20100.070.440.07204830.06212822823 (14.3%)0.16
20110.030.530.02227010.01164014817 (43.8%)0.21
20120.260.580.212494170.185421170153 (60%)10.040.22
20130.090.710.1620114160.1424649415 (%)0.25
20140.810.0921135140.11344106101 (7.7%)10.050.28
 
IF: Impact Factor: C2Y / D2Y
AIF: Average Impact Factor for series in RePEc in year y
IF5: Impact Factor: C5Y / D5Y
DOC: Number of documents published in year y
CDO: Cumulative number of documents published until year y
CCU: Cumulative number of citations to papers published until year y
CIF: Cumulative impact factor
CIT: Number of citations to papers published in year y
D2Y: Number of articles published in y-1 plus y-2
C2Y: Cites in y to articles published in y-1 plus y-2
D5Y: Number of articles published in y-1 until y-5
C5Y: Cites in y to articles published in y-1 until y-5
%SC: Percentage of selft citations in y to articles published in y-1 plus y-2
CiY: Cites in year y to documents published in year y
II: Immediacy Index: CiY / Documents.
AII: Average Immediacy Index for series in RePEc in year y

 

50 most cited documents in this series:


[Click on heading to sort table]

YearTitleCited
2010Methods for merging Gaussian mixture components. (2010). Hennig, Christian . In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:4:y:2010:i:1:p:3-34.

Full description at Econpapers || Download paper

7
2011A tail dependence-based dissimilarity measure for financial time series clustering. (2011). De Luca, Giovanni ; Zuccolotto, Paola . In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:5:y:2011:i:4:p:323-340.

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6
2008A DC programming approach for feature selection in support vector machines learning. (2008). Le, Hoai ; Nguyen, Van ; Dinh, Tao Pham ; PhamDinh, Tao ; Le Thi, Hoai . In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:2:y:2008:i:3:p:259-278.

Full description at Econpapers || Download paper

5
2011Model-based clustering of time series in group-specific functional subspaces. (2011). Bouveyron, Charles ; Jacques, Julien . In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:5:y:2011:i:4:p:281-300.

Full description at Econpapers || Download paper

4
2014Estimating common principal components in high dimensions. (2014). McNicholas, Paul ; Browne, Ryan . In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:8:y:2014:i:2:p:217-226.

Full description at Econpapers || Download paper

4
2009Trimming algorithms for clustering contaminated grouped data and their robustness. (2009). Ritter, Gunter ; Gallegos, Maria . In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:3:y:2009:i:2:p:135-167.

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4
A comparison of some criteria for states selection in the latent Markov model for longitudinal data. (2014). Pennoni, F. ; Pandolfi, S. ; Bacci, S.. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:8:y:2014:i:2:p:125-145.

Full description at Econpapers || Download paper

4
2014Simplicial band depth for multivariate functional data. (2014). Lin, Juan ; Sun, Ying ; Lopez-Pintado, Sara ; Genton, Marc . In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:8:y:2014:i:3:p:321-338.

Full description at Econpapers || Download paper

3
2010A review of robust clustering methods. (2010). Mayo-Iscar, Agustin ; Garcia-Escudero, Luis ; Matran, Carlos ; Gordaliza, Alfonso. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:4:y:2010:i:2:p:89-109.

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3
2010A simulation study to compare robust clustering methods based on mixtures. (2010). Hennig, Christian ; Coretto, Pietro . In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:4:y:2010:i:2:p:111-135.

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3
2011Correcting Jaccard and other similarity indices for chance agreement in cluster analysis. (2011). Albatineh, Ahmed ; Niewiadomska-Bugaj, Magdalena . In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:5:y:2011:i:3:p:179-200.

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3
2010A general approach to handling missing values in Procrustes analysis. (2010). Albers, Casper ; Gower, John . In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:4:y:2010:i:4:p:223-237.

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3
2012Predicting partial customer churn using Markov for discrimination for modeling first purchase sequences. (2012). Camanho, Ana ; Migueis, Vera ; João Falcão e Cunha, ; Poel, Dirk . In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:6:y:2012:i:4:p:337-353.

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2
2010Detecting atypical observations in financial data: the forward search for elliptical copulas. (2010). . In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:4:y:2010:i:4:p:287-299.

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2
2011Multiple imputation in principal component analysis. (2011). Husson, Franois ; Josse, Julie ; Pages, Jerome. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:5:y:2011:i:3:p:231-246.

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2
2009New robust dynamic plots for regression mixture detection. (2009). Perrotta, Domenico ; Riani, Marco ; Torti, Francesca . In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:3:y:2009:i:3:p:263-279.

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2
2015Modeling and forecasting interval time series with threshold models. (2015). Salish, Nazarii ; Rodrigues, Paulo . In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:9:y:2015:i:1:p:41-57.

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2
2014A LASSO-penalized BIC for mixture model selection. (2014). McNicholas, Paul ; Bhattacharya, Sakyajit . In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:8:y:2014:i:1:p:45-61.

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1
2011Robust estimation of efficient mean–variance frontiers. (2011). Laurini, Fabrizio ; Grossi, Luigi . In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:5:y:2011:i:1:p:3-22.

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1
2012Sensory analysis in the food industry as a tool for marketing decisions. (2012). Piccolo, Domenico ; Zuccolotto, Paola ; Manisera, Marica ; Iannario, Maria . In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:6:y:2012:i:4:p:303-321.

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1
2014Functional data clustering: a survey. (2014). Preda, Cristian ; Jacques, Julien . In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:8:y:2014:i:3:p:231-255.

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1
2010The k-step spatial sign covariance matrix. (2010). Yadine, A. ; Dehon, C. ; Croux, C.. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:4:y:2010:i:2:p:137-150.

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1
2011Special Issue on ‘Time series clustering’. (2011). Bock, Hans-Hermann . In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:5:y:2011:i:4:p:247-249.

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1
2013A Monte Carlo evaluation of three methods to detect local dependence in binary data latent class models. (2013). Oberski, Daniel ; Vermunt, Jeroen ; Kollenburg, Geert . In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:7:y:2013:i:3:p:267-279.

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1
2009Tests of ignoring and eliminating in nonsymmetric correspondence analysis. (2009). Jung, Sunho ; Takane, Yoshio . In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:3:y:2009:i:3:p:315-340.

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1
2012Adaptation of interval PCA to symbolic histogram variables. (2012). Diday, Edwin ; Makosso-Kallyth, Sun . In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:6:y:2012:i:2:p:147-159.

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1
2013Clustering and classification via cluster-weighted factor analyzers. (2013). Punzo, Antonio ; Subedi, Sanjeena ; Ingrassia, Salvatore ; McNicholas, Paul . In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:7:y:2013:i:1:p:5-40.

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1
2010Robust classification for skewed data. (2010). Hubert, Mia ; Van der Veeken, Stephan . In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:4:y:2010:i:4:p:239-254.

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1
2014Variational Bayes approximations for clustering via mixtures of normal inverse Gaussian distributions. (2014). McNicholas, Paul ; Subedi, Sanjeena . In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:8:y:2014:i:2:p:167-193.

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1
2010Tag SNP selection based on clustering according to dominant sets found using replicator dynamics. (2010). Frommlet, Florian . In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:4:y:2010:i:1:p:65-83.

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1
2012Analyzing consumers’ shopping behavior using RFID data and pattern mining. (2012). Yada, Katsutoshi ; Nakahara, Takanobu . In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:6:y:2012:i:4:p:355-365.

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1
Clustering of financial time series in risky scenarios. (2014). Durante, Fabrizio ; Pappada, Roberta ; Torelli, Nicola . In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:8:y:2014:i:4:p:359-376.

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1
2011Model-based clustering and segmentation of time series with changes in regime. (2011). Same, Allou ; Aknin, Patrice ; Govaert, Gerard ; Chamroukhi, Faicel . In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:5:y:2011:i:4:p:301-321.

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1
2010Comparing partitions of two sets of units based on the same variables. (2010). Youness, Genane ; Saporta, Gilbert . In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:4:y:2010:i:1:p:53-64.

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1
2011Detection of multivariate outliers in business survey data with incomplete information. (2011). Templ, Matthias ; Todorov, Valentin ; Filzmoser, Peter . In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:5:y:2011:i:1:p:37-56.

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1

50 most relevant documents in this series:


Papers most cited in the last two years. [Click on heading to sort table]

YearTitleCited
2010Methods for merging Gaussian mixture components. (2010). Hennig, Christian . In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:4:y:2010:i:1:p:3-34.

Full description at Econpapers || Download paper

7
2011A tail dependence-based dissimilarity measure for financial time series clustering. (2011). De Luca, Giovanni ; Zuccolotto, Paola . In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:5:y:2011:i:4:p:323-340.

Full description at Econpapers || Download paper

6
2014Estimating common principal components in high dimensions. (2014). McNicholas, Paul ; Browne, Ryan . In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:8:y:2014:i:2:p:217-226.

Full description at Econpapers || Download paper

4
2014A comparison of some criteria for states selection in the latent Markov model for longitudinal data. (2014). Pennoni, F. ; Pandolfi, S. ; Bacci, S.. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:8:y:2014:i:2:p:125-145.

Full description at Econpapers || Download paper

3
2011Model-based clustering of time series in group-specific functional subspaces. (2011). Bouveyron, Charles ; Jacques, Julien . In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:5:y:2011:i:4:p:281-300.

Full description at Econpapers || Download paper

3
2010A simulation study to compare robust clustering methods based on mixtures. (2010). Hennig, Christian ; Coretto, Pietro . In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:4:y:2010:i:2:p:111-135.

Full description at Econpapers || Download paper

3
2014Simplicial band depth for multivariate functional data. (2014). Lin, Juan ; Sun, Ying ; Lopez-Pintado, Sara ; Genton, Marc . In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:8:y:2014:i:3:p:321-338.

Full description at Econpapers || Download paper

3
2008A DC programming approach for feature selection in support vector machines learning. (2008). Le, Hoai ; Nguyen, Van ; Dinh, Tao Pham ; PhamDinh, Tao ; Le Thi, Hoai . In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:2:y:2008:i:3:p:259-278.

Full description at Econpapers || Download paper

3
2012Predicting partial customer churn using Markov for discrimination for modeling first purchase sequences. (2012). Camanho, Ana ; Migueis, Vera ; João Falcão e Cunha, ; Poel, Dirk . In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:6:y:2012:i:4:p:337-353.

Full description at Econpapers || Download paper

2
2015Modeling and forecasting interval time series with threshold models. (2015). Salish, Nazarii ; Rodrigues, Paulo . In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:9:y:2015:i:1:p:41-57.

Full description at Econpapers || Download paper

2

Citing documents used to compute impact factor 0:


[Click on heading to sort table]

YearTitleSee

Cites in year: CiY


Recent citations received in: 2014


[Click on heading to sort table]

YearTitleSee
2014Latent Markov models: a review of a general framework for the analysis of longitudinal data with covariates. (2014). Farcomeni, A. ; Pennoni, F. ; Bartolucci, F.. In: TEST: An Official Journal of the Spanish Society of Statistics and Operations Research. RePEc:spr:testjl:v:23:y:2014:i:3:p:433-465.

Full description at Econpapers || Download paper

[Citation Analysis]

Recent citations received in: 2013


[Click on heading to sort table]

YearTitleSee

Recent citations received in: 2012


[Click on heading to sort table]

YearTitleSee
2012Predicting partial customer churn using Markov for discrimination for modeling first purchase sequences. (2012). Camanho, Ana ; Migueis, Vera ; João Falcão e Cunha, ; Poel, Dirk . In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:6:y:2012:i:4:p:337-353.

Full description at Econpapers || Download paper

[Citation Analysis]

Recent citations received in: 2011


[Click on heading to sort table]

YearTitleSee

Warning!! This is still an experimental service. The results of this service should be interpreted with care, especially in research assessment exercises. The processing of documents is automatic. There still are errors and omissions in the identification of references. We are working to improve the software to increase the accuracy of the results.

Source data used to compute the impact factor of RePEc series.