How to address the data quality issues in regression models: A guided process for data cleaning
Today, data availability has gone from scarce to superabundant. Technologies like IoT,
trends in social media and the capabilities of smart-phones are producing and digitizing lots …
trends in social media and the capabilities of smart-phones are producing and digitizing lots …
From theory to practice: A data quality framework for classification tasks
The data preprocessing is an essential step in knowledge discovery projects. The experts
affirm that preprocessing tasks take between 50% to 70% of the total time of the knowledge …
affirm that preprocessing tasks take between 50% to 70% of the total time of the knowledge …
Feature selection for classification tasks: Expert knowledge or traditional methods?
Recently, available data has increased explosively in both number of samples and
dimensionality. The huge number of high dimensional data generates the presence of noisy …
dimensionality. The huge number of high dimensional data generates the presence of noisy …
A Systematic Study for Organizing Research Topics in Ontology Data Mining Domain
Ontology has played a significant role in various domains for the organization of computer-
managed knowledge in recent years. Ontology is used to organize and classify objects in …
managed knowledge in recent years. Ontology is used to organize and classify objects in …