The prediction of the occurrence of heart disease in the medical area is an important task. Algorithm of data mining are very helpful in the detection of Cardiovascular disease. In this paper, a survey has been provided for data mining classification techniques, in which health professionals have...
Kukar, M.: Quality assessment of individual classifications in machine learning and data mining. Knowledge Information Systems 9(3), 364–384 (2006)Kukar M (2006) Quality assessment of individual classifications in machine learning and data mining. Knowl Inform Sys 9(3): 364–384...
The amount of freely available human phenotypic data is increasing daily, and yet little is known about the types of inferences or identifying characteristics that could reasonably be drawn from that data using new statistical methods. One data type of p
Second, in terms of a research method, we proposed an integrated method based on rough set (RS)–entropy weight method (EW)–spatial data analysis (SDA) to evaluate the ecological security status of 108 MRBCCs. The RS method is good at dealing with fuzzy and uncertain knowledge. This ...
Peculiarity-oriented mining is a data mining method consisting of peculiar data identification and peculiar data analysis. Peculiarity factor and local peculiarity factor are important concepts employed to describe the peculiarity of a data point in the identification step. One can study the notions at...
LEGO color scheme classifications September 19, 2017 Topic Statistics/color,LEGO Nathanael Aff poked at LEGO brickset data with some text mining methods in search for recurring color schemes in LEGO sets.This is what he got. Chart Type Used...
data is highly required. The great disadvantage of aforementioned methods is that they “assume” that statistical properties of the discovered concept (which model is predicted) are being unchanged. In real situation we could observe so-called concept drift, therefore designing data mining methods, ...
One possible method is to consider a fixed number of data and then incrementally increase the data, and observe if the accuracy changes drastically. If the data are sufficient, the accuracy will saturate, and change very little with the increasing data. In addition, there are various online ...
under special perturbations and matrix structural assumptions, sensitivity of the additive model's classifications in data envelopment analysis (DEA) is investigated by means of new DEA formulations focusing on the stability (sensitivity) of an organization's classification (whether efficient or inefficient...
Conventional mining techniques are used to extract amorphous graphite, which occurs mainly in Mexico, North Korea, South Korea, and Austria. Flake Graphite Flake graphite can be found in metamorphic rocks evenly spread through the body of the ore or in concentrated lens-shaped pockets. The range ...