Tag Archives: Soft Computing – A Fusion of Foundations, Methodologies and Applications

Abstract  The discretization of values plays a critical role in data mining and knowledge discovery. The representation of information
through intervals is more concise and easier to understand at certain levels of knowledge than the represe… Continue reading →

Abstract  Ruggedness has a strong influence on the performance of algorithms, but it has been barely studied in real-coded optimization,
mainly because of the difficulty of isolating it from a number of involved topological properties. In th… Continue reading →

Abstract  Reconstructing a signal from its observations via a sensor device is usually called “deconvolution”. Such reconstruction requires
perfect knowledge of the impulse response of the sensor involved in the signal measurement. The l… Continue reading →

Abstract  Using a statistical model in a diagnosis task generally requires a large amount of labeled data. When ground truth information
is not available, too expensive or difficult to collect, one has to rely on expert knowledge. In this pa… Continue reading →

Abstract  Imperfect information inevitably appears in real situations for a variety of reasons. Although efforts have been made to incorporate
imperfect data into classification techniques, there are still many limitations as to the type of … Continue reading →

Abstract  Fuzzy rule-based classification systems (FRBCSs) are known due to their ability to treat with low quality data and obtain
good results in these scenarios. However, their application in problems with missing data are uncommon while … Continue reading →

Abstract  Data mining is most commonly used in attempts to induce association rules from databases which can help decision-makers easily
analyze the data and make good decisions regarding the domains concerned. Different studies have propose… Continue reading →

Abstract  Least-squares technique is well-known and widely used to determine the coefficients of a explanatory model from observations
based on a concept of distance. Traditionally, the observations consist of pairs of numeric values. Howeve… Continue reading →

Abstract  Craniofacial superimposition is a forensic process where photographs or video shots of a missing person are compared with
the skull that is found. By projecting both photographs on top of each other (or, even better, matching a sca… Continue reading →

Abstract  In standard frequent item set mining a transaction supports an item set only if all items in the set are present. However,
in many cases this is too strict a requirement that can render it impossible to find certain relevant groups… Continue reading →