DQDF: Data-Quality-Aware Dataframes
Phanwadee Sinthong, Dhaval Patel, et al.
VLDB 2022
The use of AI has already penetrated some areas of life. By shaping machine learning, it can also be used in the area of construction financing. This includes the factors of advice, the potential of land and building, as well as financial security for lending. Trends in IT are primarily AI and its sub-areas of machine learning and dynamic automation. This paper presents a scenario of how AI can transform and automate the field of construction financing. Corresponding recommendations for action are presented in abbreviated form afterwards. The conclusion shows the necessity to follow the trend and to profit economically from its use.
Phanwadee Sinthong, Dhaval Patel, et al.
VLDB 2022
Oshri Naparstek, Ophir Azulai, et al.
KDD 2022
Dirk Fahland, Fabiana Fournier, et al.
DKE
Phuong Nguyen, Vatche Isahagian, et al.
IJCAI 2022