Different aspects of the curse of dimensionality are known to present serious challenges to
various machine-learning methods and tasks. This paper explores a new aspect of the …

Reverse skyline queries over uncertain databases have many important applications such
as sensor data monitoring and business planning. Due to the existence of uncertainty in …

Traditional rank-aware processing assumes a dataset that contains available options to
cover a specific need (eg, restaurants, hotels, etc) and users who browse that dataset via top …

Reverse nearest neighbor (RNN) search is very crucial in many real applications. In
particular, given a database and a query object, an RNN query retrieves all the data objects …

We present here the design, architecture, and first data release for the Solar System
Notification Alert Processing System (SNAPS). SNAPS is a solar system broker that ingests …

The importance of query processing over uncertain data has recently arisen due to its wide
usage in many real-world applications. In the context of uncertain databases, previous works …

Given a set of users, a set of facilities and a query facility q, a reverse k nearest neighbors (R
k NN) query returns every user u for which the query is one of its k closest facilities. R k NN …

Recently, many new applications, such as sensor data monitoring and mobile device
tracking, raise up the issue of uncertain data management. Compared to" certain" data, the …

Due to the existence of uncertain data in a wide spectrum of real applications, uncertain
query processing has become increasingly important, which dramatically differs from …

We propose and study a new type of facility location selection query, the top-k most
influential location selection query. Given a set M of customers and a set F of existing …