Nowadays, the growth of the high-throughput technologies has resulted in exponential growth in the harvested data with respect to both dimensionality and sample size. The trend of this growth of the UCI machine learning repository is shown in Figure 2.1. Efficient and effective management of these data becomes increasing challenging. Traditionally, manual management of these datasets has been impractical. Therefore, data mining and machine learning techniques were developed to automatically discover knowledge and recognize patterns from these data.
ASJC Scopus subject areas
- Economics, Econometrics and Finance(all)
- Business, Management and Accounting(all)
- Computer Science(all)