Contextual TV dataset

If you use this dataset please cite the following papers: Primary citation Miklas S. Kristoffersen, Sven E. Shepstone, and Zheng-Hua Tan. The Importance of Context When Recommending TV Content: Dataset and Algorithms. IEEE Transactions on Multimedia, 22(6), 1531-1541. Secondary citation Miklas S. Kristoffersen, Sven E. Shepstone, and Zheng-Hua Tan. A Dataset for Inferring Contextual Preferences of Users Watching TV. In UMAP ’18: 26th Conference on User Modeling, Adaptation and Personalization

The Challenges of Big Data - Contributions in the Field of Data Quality and Artificial Intelligence Applications

The term "big data" has been characterized by challenges regarding data volume, velocity, variety and veracity. Solving these challenges requires research effort that fits the needs of big data. Therefore, this cumulative dissertation contains five paper aiming at developing and applying AI approaches within the field of big data as well as managing data quality in big data