Factors that drive the selection of business intelligence tools in South African financial services providers
Innovation and technology advancements in information systems (IS) have resulted in a multitude of product offerings and business intelligence (BI) software tools in the market to implement business intelligence systems (BIS). As a result, a high ...
An optimised soft computing-based approach for multimedia data mining
Multimedia mining is a sub-field of information mining which is exploited to discover fascinating data of certain information from interactive media information bases. The information mining is ordered into two general classifications, such as – static ...
Fraud detection with machine learning: model comparison
This work evaluates the performance of different models for predicting three types of fraudulent behaviour in a novel dataset with imbalanced data. The logistic regression model, a staple in the credit risk industry, is compared to several machine ...
Context-aware automated quality assessment of textual data
Data analysis is a crucial process in the field of data science that extracts useful information from any form of data. With the rapid growth of technology, more and more unstructured data, such as text and images, are being produced in large amounts. ...
EmoRile: a personalised emoji prediction scheme based on user profiling
Emojis are widely used to express emotions and complement text communication. Existing approaches for emoji prediction are generic and generally utilise text or time for emoji prediction. However, research reveals that emoji usage differs among users. So ...