Data-centric AI, with its primary focus on the collection, management, a...
While in-memory learned indexes have shown promising performance as comp...
Although many updatable learned indexes have been proposed in recent yea...
As a fundamental component in location-based services, inferring the
rel...
Traffic bottlenecks are a set of road segments that have an unacceptable...
In this paper, we make a first attempt to incorporate both commuting dem...
Existing spatial object recommendation algorithms generally treat object...
Query optimizer is at the heart of the database systems. Cost-based opti...
This paper presents a thorough evaluation of the existing methods that
a...
In this paper, we study a variant of the dynamic ridesharing problem wit...
Network embedding is an effective method to learn low-dimensional
repres...
Recent advances in sensor and mobile devices have enabled an unprecedent...
Reorganizing bus frequency to cater for the actual travel demand can sav...
Knowledge bases (KBs) store rich yet heterogeneous entities and facts. E...
Accurate house prediction is of great significance to various real estat...
In this paper we propose and study the problem of trajectory-driven
infl...