Most of the datasets contain redundancies and inconsistencies in terms of features or
instances or both. Therefore, datasets always need pre-processing before applying data …

Agriculture sector is recognized as the backbone of the Indian economy that plays a crucial
role in the growth of the nation's economy. It imparts on weather and other environmental …

There exists an ample number of meta-heuristics for feature subset selection in data mining
literature. Most of these algorithms have been restructured to employ multi-objective …

With the recent advances of genomic sequencing techniques, the number of protein
sequences available for analysis has increased greatly. Wet-lab processes to predict the …

The rate of infant mortality (IMR) in a population under one year of age is a marker for infant
mortality. It is a major sensitive marker of a community's overall physical health. Protecting …

Feature selection plays a vital role in data mining and machine learning algorithms because
of big sizes of datasets and features. Feature selection is the pre processing step where …

Microarray technology is significantly impacting the community to know the primary
characteristic underlining the expansion and growth of genes. Regardless of its many …

Genetic Algorithm (GA) dan Particle Swarm Optimization (PSO). Pemodelan hybrid dengan
menggunakan model empiris Cost-Hatta dan 3 algoritma machine learning yaitu RF, ANN …

Objective Redundant and superfluous features or instances reduce the efficiency and
efficacy of data mining algorithms. Hence, selecting relevant and significant features and …

Resumo De Sá, Marcos Vinícius Porto. Vellasco, Marley. Algoritmo Genético para Seleção
de Variáveis na Classificação de Falhas em Processos Químicos de Larga Escala. Rio de …