Abstract: The focus of this study is the processing and analysis of race data, and employs algorithms such as ARIMA model and Principal Component Analysis (PCA) to construct a series of data analysis ...

1 Department of Computer and Instructional Technologies Education, Gazi Faculty of Education, Gazi University, Ankara, Türkiye. 2 Department of Forensic Informatics, Institute of Informatics, Gazi ...

Unlike PCA (maximum variance) or ICA (maximum independence), ForeCA finds components that are maximally forecastable. This makes it ideal for time series analysis where prediction is often the primary ...

AI tools are frequently used in data visualization — this article describes how they can make data preparation more efficient ...

Abstract: Robust tensor principal component analysis (RTPCA) based on tensor singular value decomposition (t-SVD) separates the low-rank component and the sparse component from the multiway data. For ...