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The minimization of open stacks problem: A review of some properties and their use in pre-processing operations
(Elsevier B.V., 2010-06-16)
Pre-processing operations that reduce the size of a problem may be decisive for solving or not solving practical instances of a NP-hard problem. In this article we review some properties suggested in the literature for the ...
Analysis of document pre-processing effects in text and opinion mining
(2018-04-20)
Typically, textual information is available as unstructured data, which require processing so that data mining algorithms can handle such data; this processing is known as the pre-processing step in the overall text mining ...
The application of preprocessing and cutting plane techniques for a class of production planning problems
(Kluwer Academic Publ, 1998-12-01)
This paper investigates properties of integer programming models for a class of production planning problems. The models are developed within a decision support system to advise a sales team of the products on which to ...
Pre-processing of the problem of comprehensive covering applied to driver scheduling
(Univ Passo Fundo, 2016-07-01)
Improvements on the Porter`s Stemming Algorithm for Portuguese
(IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 2009)
The amount of textual information digitally stored is growing every day. However, our capability of processing and analyzing that information is not growing at the same pace. To overcome this limitation, it is important ...
Computational methods for the image segmentation of pigmented skin lesions: A review
(Elsevier B.V., 2016-07-01)
Background and objectives: Because skin cancer affects millions of people worldwide, computational methods for the segmentation of pigmented skin lesions in images have been developed in order to assist dermatologists in ...
Improvements on ICA mixture models for image pre-processing and segmentation
(ELSEVIER SCIENCE BV, 2008)
Today several different unsupervised classification algorithms are commonly used to cluster similar patterns in a data set based only on its statistical properties. Specially in image data applications, self-organizing ...
Pre-processing for noise detection in gene expression classification data
(Sociedade Brasileira de Computação, 2009)
Due to the imprecise nature of biological experiments, biological data is often characterized by the presence of redundant and noisy data. This may be due to errors that occurred during data collection, such as contaminations ...
Unsupervised segmentation method for cuboidal cell nuclei in histological prostate images based on minimum cross entropy
(2013-08-12)
This paper presents a novel segmentation method for cuboidal cell nuclei in images of prostate tissue stained with hematoxylin and eosin. The proposed method allows segmenting normal, hyperplastic and cancerous prostate ...