Big Data Systems (BDSs) are an emerging class of scalable software technologies whereby
massive amounts of heterogeneous data are gathered from multiple sources, managed …

Defining and evaluating data quality can be a complex task as it varies depending on the
specific purpose for which the data is intended. To effectively assess data quality, it is …

Abstract Machine learning is recognised as a relevant approach to detect attacks and other
anomalies in network traffic. However, there are still no suitable network datasets that would …

Data quality is the primary concern faced by most of the organizations due to improper
maintenance in the database. Data obtained from the various resources are dirty, affecting …

Data classification is a data mining task that consists of an algorithm adjusted by a training
dataset that is used to predict an object's class (unclassified) on analysis. A significant part of …

A classificação de dados é uma tarefa de mineração de dados que consiste na aplicação de
um algoritmo a conjunto de dados de treinamento com a finalidade de inferir a classe de um …

Tämä työ käsittelee datan laatua tietovarastoprojektin eri vaiheissa. Työn tarkoituksena on
tarkastella tietovarastoprojektin vaiheita datan laadun näkökulmasta ja vastata …