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TIB reading rooms collection
Synonyms were used for: Statistik
Search without synonyms: keywords:("Statistik")
Used synonyms:
- mathematical statistics
- mathematische statistik
- statistics
- statistiken
- statistische mathematik
- statistische methode
- statistisches verfahren
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A dynamic bibliometric model for identifying online communities
Springer Verlag | 2007|Keywords: Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences -
A fast and effective method to find correlations among attributes in databases
Springer Verlag | 2007|Keywords: Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences -
A fast ensemble pruning algorithm based on pattern mining process
Springer Verlag | 2009|Keywords: Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences, Statistics, general -
A fast outlier detection strategy for distributed high-dimensional data sets with mixed attributes
Springer Verlag | 2009|Keywords: Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences, Statistics, general -
A Fast Parallel Clustering Algorithm for Large Spatial Databases
National licenceSpringer Verlag | 1999|Keywords: Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences -
Affinity analysis for studying physicians’ prescription behavior.
The case of hypertension and hyperlipidemiaSpringer Verlag | 2021|Keywords: Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences -
Affinity-driven blog cascade analysis and prediction
Springer Verlag | 2013|Keywords: Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences -
A framework for condensation-based anonymization of string data
Springer Verlag | 2008|Keywords: Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences -
A framework for deep constrained clustering
Springer Verlag | 2021|Keywords: Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences -
A framework for dissimilarity-based partitioning clustering of categorical time series
Springer Verlag | 2014|Keywords: Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences -
A Framework for Evaluating Privacy Preserving Data Mining Algorithms*
Springer Verlag | 2005|Keywords: Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences -
A framework for semi-supervised and unsupervised optimal extraction of clusters from hierarchies
Springer Verlag | 2013|Keywords: Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences -
A game-theoretic framework to identify overlapping communities in social networks
Springer Verlag | 2010|Keywords: Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences, Statistics, general -
A general framework for never-ending learning from time series streams
Springer Verlag | 2014|Keywords: Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences -
A general framework for predictive tensor modeling with domain knowledge
Springer Verlag | 2014|Keywords: Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences -
A generalized taxonomy of explanations styles for traditional and social recommender systems
Springer Verlag | 2011|Keywords: Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences, Statistics, general -
Aggregative quantification for regression
Springer Verlag | 2013|Keywords: Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences -
A global optimization method for semi-supervised clustering
Springer Verlag | 2008|Keywords: Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences -
A graph convolutional fusion model for community detection in multiplex networks
Springer Verlag | 2023|Keywords: Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences -
A hyperbolic approach for learning communities on graphs
Springer Verlag | 2023|Keywords: Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences
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