Last updated July, 3 2014 639.049 documents processed, 16.613.935 references and 6.218.529 citations

Advances in Data Analysis and Classification / Springer


[Raw data] [Main indicators] [Most cited papers] [cites used to compute the impact factor] [Recent citations ][documents published in EconPapers] [Keep updated about new citations] [Missing citations? Add them now] [Incorrect content? Let us know]

Main indicators


Raw data:


IF AIF DOC CDO CCU CIF CIT D2Y C2Y %SC CiY II AII
19900.09000000.04
19910.09000000.04
19920.09000000.04
19930.1000000.05
19940.11000000.05
19950.2000000.08
19960.24000000.1
19970.3000000.11
19980.29000000.11
19990.34000000.15
20000.42000000.16
20010.44000000.17
20020.45000000.2
20030.47000000.2
20040.53000000.22
20050.56000000.23
20060.55000000.22
20070.47000000.19
20080.58804000.21
20090.51202805800.21
20100.070.47204830.0619282500.17
20110.030.55227010.011140100.22
20120.260.672494170.181421145.510.040.26
20130.090.9220114160.14046400.34
20140.681112560.0504400.24
 
 
IF: Impact Factor: C2Y / D2Y
AIF: Average Impact Factor for series in RePEc in year y
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
%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

 

Most cited documents in this series:


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.

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

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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
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
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
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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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
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.

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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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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
2010Detecting atypical observations in financial data: the forward search for elliptical copulas. (2010). bellini, tiziano. 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
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
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
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
2011Detection of multivariate outliers in business survey data with incomplete information. (2011). Todorov, Valentin ; Templ, Matthias ; 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
2011Robust estimation of efficient mean–variance frontiers. (2011). Grossi, Luigi ; Laurini, Fabrizio . In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:5:y:2011:i:1:p:3-22.

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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

Citing documents used to compute impact factor 0:


YearTitleSee

Cites in year: CiY


Recent citations received in: 2011


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.