Data Mining and Knowledge Discovery
The premier technical publication in the field, Data Mining and Knowledge Discovery is a resource collecting relevant common methods and techniques and a forum for unifying the diverse constituent research communities. The journal publishes original technical papers in both the...
Metrics
Scimago and CountryOfPapers database fields
SJR Impact
1,019
H-index
123
Docs (year)
129
Docs 3y
220
Total refs
6515
Cites 3y
1162
Citable 3y
218
Cites/Doc 2y
4.86
Ref/Doc
50.5
Immediate OA
2290 €
Embargoed OA
NPD
Non OA / Submission
0 €
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Best articles by citations
Ratio Selection for Classification Models
View moreMassExodus: modeling evolving networks in harsh environments
View moreMatching samples of multiple views
View moreMining periodic behaviors of object movements for animal and biological sustainability studies
View moreMining process models with non-free-choice constructs
View moreMining significant association rules from uncertain data
View moreMining strong relevance between heterogeneous entities from unstructured biomedical data
View moreMulti-target prediction: a unifying view on problems and methods
View moreOn the use of Human-Computer Interaction for Projected Nearest Neighbor Search
View moreOn the Use of Wavelet Decomposition for String Classification
View morePublishing anonymous survey rating data
View moreLearning Semi-Structured Document Categorization Using Bounded-Length Spectrum Sub-Sequence Kernels
View moreReinforcing Web-object Categorization Through Interrelationships
View moreSequential Activity Profiling: Latent Dirichlet Allocation of Markov Chains
View moreSequential Pattern Mining in Multi-Databases via Multiple Alignment
View moreSourcerer: mining and searching internet-scale software repositories
View moreSpatial autocorrelation and entropy for renewable energy forecasting
View moreSummarizing transactional databases with overlapped hyperrectangles
View moreSupport measures for graph data*
View moreTree Structures for Mining Association Rules
View moreUsing instance-level constraints in agglomerative hierarchical clustering: theoretical and empirical results
View moreWeakly supervised nonnegative matrix factorization for user-driven clustering
View moreDynamic inference of social roles in information cascades
View moreA practical approximation algorithm for optimal k-anonymity
View more