Purpose: This study sought to review the characteristics, strengths, weaknesses variants, applications areas and data types applied on various Dimension Reduction techniques. Methodology: The most commonly used databases employed search for papers were ScienceDirect, Scopus, Google Scholar, IEEE Xplore Mendeley. An integrative was where 341 reviewed. Results: linear techniques considered Princi...

We present a technique to extend Robust Soft Learning Vector Quantization (RSLVQ). This algorithm is derived from an explicit cost function and follows the dynamics of a stochastic gradient ascent. The RSLVQ cost function involves a hyperparameter which is kept fixed during training. We propose to adapt the hyperparameter based on the gradient information. Experiments on artificial and real lif...

Cloud services are a popular concept used to describe how internet-based delivered and maintained. The computer technology environment is being restructured with respect information preservation. Data protection of critical importance when storing huge volumes information. In today’s cyber world, an intrusion significant security problem. Services, information, all vulnerable attack in the clou...

Word Sense Disambiguation improves several tasks of Natural Language Processing. We present a supervised disambiguator based on Vector Space Model, where its weights are trained with a learning vector quantization argorithm based on the Kohonen Model (LVQ algorithm) and using different semantic relations of WordNet and SemCor corpus. We also include an evaluation making a simulation of particip...

Purpose – One of the key elements in the banking industry relies on the appropriate selection of customers. To manage credit risk, banks dedicate special efforts to classify customers according to their risk. The usual decision-making process consists of gathering personal and financial information about the borrower. Processing this information can be time-consuming, and presents some difficul...