Intelligent Data Analysis

1.3(top 50%)

impact factor

1.4K(top 20%)

papers

22.5K(top 10%)

citations

54(top 10%)

h-index

1.4(top 50%)

impact factor

1.8K

all documents

23.7K

doc citations

123(top 10%)

g-index

Top Articles

#	Title	Journal	Year	Citations
1	The class imbalance problem: A systematic study1	Intelligent Data Analysis	2002	2,292
2	Feature Selection for Classification	Intelligent Data Analysis	1997	1,825
3	Feature selection for classification	Intelligent Data Analysis	1997	1,754
4	Toward accurate dynamic time warping in linear time and space	Intelligent Data Analysis	2007	1,098
5	SOM-based data visualization methods	Intelligent Data Analysis	1999	502
6	SOM-based data visualization methods	Intelligent Data Analysis	1999	424
7	Learning drifting concepts: Example selection vs. example weighting	Intelligent Data Analysis	2004	319
8	An overview of clustering methods	Intelligent Data Analysis	2007	280
9	A comprehensive analysis of hyper-heuristics	Intelligent Data Analysis	2008	212
10	Mining association rules from quantitative data	Intelligent Data Analysis	1999	194
11	Data Preprocessing and Intelligent Data Analysis	Intelligent Data Analysis	1997	182
12	A new incremental data mining algorithm using pre-large itemsets1	Intelligent Data Analysis	2001	181
13	Hybrid recommender systems: A systematic literature review	Intelligent Data Analysis	2017	165
14	Nearest neighbor classification from multiple feature subsets	Intelligent Data Analysis	1999	141
15	Mining weighted association rules	Intelligent Data Analysis	2001	124
16	Measuring the accuracy and interest of association rules: A new framework	Intelligent Data Analysis	2002	124
17	Online classification of nonstationary data streams	Intelligent Data Analysis	2002	120
18	Mining association rules from quantitative data☆	Intelligent Data Analysis	1999	118
19	Data preprocessing and intelligent data analysis	Intelligent Data Analysis	1997	113
20	Why machine learning algorithms fail in misuse detection on KDD intrusion detection data set	Intelligent Data Analysis	2004	113
21	In search of deterministic methods for initializing K-means and Gaussian mixture clustering	Intelligent Data Analysis	2007	111
22	Learning from ambiguously labeled examples*	Intelligent Data Analysis	2006	109
23	On the use of self-organizing maps for clustering and visualization	Intelligent Data Analysis	2001	105
24	A genetic algorithm for cluster analysis	Intelligent Data Analysis	2003	102
25	Decision trees for mining data streams	Intelligent Data Analysis	2006	101
26	A comprehensive survey of numeric and symbolic outlier mining techniques	Intelligent Data Analysis	2006	99
27	Using multiple windows to track concept drift	Intelligent Data Analysis	2004	97
28	Evolutionary model selection in unsupervised learning	Intelligent Data Analysis	2002	90
29	Effective algorithms of the Moore-Penrose inverse matrices for extreme learning machine	Intelligent Data Analysis	2015	88
30	Fast dimensionality reduction and simple PCA	Intelligent Data Analysis	1998	86
31	A surface-based approach for classification of 3D neuroanatomic structures	Intelligent Data Analysis	2004	86
32	Anomaly detection in data represented as graphs	Intelligent Data Analysis	2007	83
33	Nearest neighbor classification from multiple feature subsets	Intelligent Data Analysis	1999	79
34	Mixture-model cluster analysis using information theoretical criteria	Intelligent Data Analysis	2007	79
35	ROC analysis of classifiers in machine learning: A survey	Intelligent Data Analysis	2013	78
36	Selective fusion of heterogeneous classifiers	Intelligent Data Analysis	2005	77
37	Measuring the interestingness of discovered knowledge: A principled approach	Intelligent Data Analysis	2003	76
38	Constraint-based concept mining and its application to microarray data analysis	Intelligent Data Analysis	2005	76
39	Searching for interacting features in subset selection1	Intelligent Data Analysis	2009	76
40	Decision trees for ordinal classification	Intelligent Data Analysis	2000	71
41	Improved financial time series forecasting by combining Support Vector Machines with self-organizing feature map	Intelligent Data Analysis	2001	71
42	Dynamic support vector machines for non-stationary time series forecasting	Intelligent Data Analysis	2002	71
43	Boosting classifiers for drifting concepts	Intelligent Data Analysis	2007	71
44	Enhancing software quality estimation using ensemble-classifier based noise filtering	Intelligent Data Analysis	2005	67
45	Discovery of spatial association rules in geo-referenced census data: A relational mining approach	Intelligent Data Analysis	2003	66
46	NOEMON: Design, implementation and performance results of an intelligent assistant for classifier selection	Intelligent Data Analysis	1999	64
47	Davies Bouldin Index based hierarchical initialization K-means	Intelligent Data Analysis	2017	62
48	Fast Dimensionality Reduction and Simple PCA	Intelligent Data Analysis	1998	60
49	Knowledge Discovery Via Multiple Models	Intelligent Data Analysis	1998	60
50	Knowledge discovery via multiple models	Intelligent Data Analysis	1998	59

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