Data Mining: Concepts, Models, Methods, and Algorithms

By M. Kantardzic. 2002

601 citations recorded by the source corpus.

Subfields: Information Systems

View Paper: https://www.semanticscholar.org/paper/fc3531f16eadcebe8dcb0528718625c32232dde8

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Information Systems

1. Eyman A. Alyahyan
2. Dilek Düştegör

Citations in the corpus

• Predicting academic success in higher education: literature review and best practices (2020, methodology): “Two types of data mining models are commonly used in EDM applications for success prediction: predictive and descriptive (Kantardzic, 2003).”
• Analysis of the construction waste management performance in Hong Kong: the public and private sectors compared using big data (2016, background): “, 2012), processing big data does not mean disregarding traditional methodologies such as statistical analyses or data mining (Kantardzic, 2003; Fayyad, 1996; Clifton, 2010); too often, articles on big data misleadingly associate it with buzzwords such as pattern finding algorithms, unattended machi”
• Automatic Classification for Pathological Prostate Images Based on Fractal Analysis (2009, neutral): “The operation of a -NN classifier can be summarized by the following basic steps [40].”