Databases are increasingly embracing AI to provide autonomous system optimization and
intelligent in-database analytics, aiming to relieve end-user burdens across various industry …

Decision forest, including RandomForest, XGBoost, and LightGBM, dominates the machine
learning tasks over tabular data. Recently, several frameworks were developed for decision …

Delta compression, as a complementary technique for data deduplication, has gained
widespread attention in network storage systems. It can eliminate redundant data between …

With technological innovations, enterprises in the real world are managing every iota of data
as it can be mined to derive business intelligence (BI). However, when data comes from …

Decision forest, including RandomForest, XGBoost, and LightGBM, is one of the most
popular machine learning techniques used in many industrial scenarios, such as credit card …

Serving deep learning (DL) models on relational data has become a critical requirement
across diverse commercial and scientific domains, sparking growing interest recently. In this …

Training on time-series data generated from mobile networks is a resource-intensive and
time-consuming task that encounters various training failures. To cope with this issue, we …