Mutual Information (MI) estimation is an important component of several data mining tasks (e.g feature selection). In classi cation settings, MI estimation essentially depends on the estimation of the ratio of two probability densities. Using a recently developed method of density-ratio estimation, which is constructive in nature, new estimators for MI can be derived. In this paper we consider ...

Ensemble selection has recently appeared as a popular ensemble learning method, not only because its implementation is fairly straightforward, but also due to its excellent predictive performance on practical problems. The method has been highlighted in winning solutions of many data mining competitions, such as the Netflix competition, the KDD Cup 2009 and 2010, the UCSD FICO contest 2010, and...

© 2012 Indumathi, licensee InTech. This is an open access chapter distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. A Generic Scaffold Housing the Innovative Modus Operandi for Selection of the Superlative...

Recruitment is an important issue of human resource management (HRM). The main purpose of recruitment is to obtain talent from internal and external of organization. However, excellent talent maybe will be missed at the pre-screening process under lack of complete information for managers to judge. In this paper, a personnel selection tool based on fuzzy data mining method is proposed to assist...

Feature selection is widely used in preparing highdimensional data for effective data mining. Attributevalue data in traditional feature selection differs from social media data, although both can be large-scale. Social media data is inherently not independent and identically distributed (i.i.d.), but linked. Furthermore, there is a lot of noise. The quality of social media data can vary drasti...

industrial-scale r&d it projects depend on many sub-technologies which need to be understood and have their risks analysed before the project can begin for their success. when planning such an industrial-scale project, the list of technologies and the associations of these technologies with each other is often complex and form a network. discovery of this network of technologies is time con...

Data mining in the educational field can be used to optimize teaching and learning performance among students. The recently developed machine (ML) deep (DL) approaches utilized mine data effectively. This study proposes an Improved Sailfish Optimizer-based Feature Selection with Optimal Stacked Sparse Autoencoder (ISOFS-OSSAE) for pattern recognition sector. proposed ISOFS-OSSAE model aims deri...