Business Intelligence

Based on a total of 1,590 listed non-financial firms on the Taiwan Stock Exchange and the Taipei Exchange (formerly the Over The Counter securities market) covering the period of 2007~2020, this study examines whether firm's performance on …

Creating specific datasets for machine learning models is a frequent and challenging task, requiring considerable effort in sample collection and maintaining a balanced representation of each class. In this study, our objective was to create a …

Random sample partition (RSP) is a newly developed big data representation and management model to deal with big data approximate computation problems. Academic research and practical applications have confirmed that RSP is an efficient solution …

Data stream mining is essential in various fields such as education, the Internet of Things (IoT), social media, entertainment, weather monitoring, and finance. This is due to the continuous and huge amount of data generated by applications in …

Key Accounts Managers are responsible in an organization for the management of large clients requiring Management Information Systems that provide them in real-time accurate and timely information for decision-making. This project arises …

The increasing interoperability of an organisation’s PLM system of systems affords productivity gains through the ability to share, synchronise and process data and information across the product lifecycle. This ensures a single-source-of-truth …

Credit data refer to any data related to a credit product during its lifetime. Credit data vary with different products, for example, retail and wholesale loans have different types of credit data. Credit data also depends on availability by …

India has completed 52 years since it sent into orbit its maiden satellite Aryabhata, an experimental scientific satellite, using a Soviet launch vehicle. Since that modest step, the Indian Space Research Organisation (ISRO), the national space …