DATA MINING TECHNIQUES

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Sampling from large matrices: An approach through geometric functional analysis (2005, methodology): “For example, this is a model hypothesis in the Latent Semantic Indexing (see [Jerry and Linoff 1997], [Papadimitriou et al.”
Clustering Large Graphs via the Singular Value Decomposition (2004, methodology): “Again, the algorithm can be modified to approximate right singular vectors.”
Data mining techniques and applications — A decade review (2017, methodology): “Data mining techniques are classified into characterization, generalization and association [15].”
Customer relationship management in financial services: towards information-enabled relationship marketing (2001, background): “More is known about customers as individuals than ever before and the emergence of analytical techniques such as neural networks (Berry and Linoff, 1997) means that more can be predicted.”
A survey of data mining and knowledge discovery process models and methodologies (2010, methodology): “The 6-s method has also been applied in data mining projects (StatSoft, 2005).”
Prediction of self-compacting concrete strength using artificial neural networks (2016, background): “…2015; Lamanna, Malgaroli, Cerutti, & Signorini, 2012; Papadopoulos, Giovanis, Lagaros, & Papadrakakis, 2012) for determining the correct number of neurons with their hidden layer based mainly on the number of inputs and output parameters (Berry & Linoff, 1997; Blum, 1992; Boger & Guterman, 1997).”