We investigate the problem of processing a large amount of continuous spatial-keyword
queries over streaming data, which is essential in many applications such as location-based …

BE-Tree is a novel dynamic tree data structure designed to efficiently index Boolean
expressions over a high-dimensional discrete space. BE-Tree copes with both high …

As the prevalence of social media and GPS-enabled devices, a massive amount of geo-
textual data has been generated in a stream fashion, leading to a variety of applications …

In this paper, we propose a new location-aware pub/sub system, Elaps, that continuously
monitors moving users subscribing to dynamic event streams from social media and E …

Ensemble learning is a common tool for data stream classification, mainly because of its
inherent advantages of handling large volumes of stream data and concept drifting. Previous …

Top-k retrieval over main-memory inverted indexes is at the core of many modern
applications: from large scale web search and advertising platforms, to text extenders and …

Many of today's publish/subscribe (pub/sub) systems have been designed to cope with a
large volume of subscriptions and high event arrival rate (velocity). However, in many novel …

Event matching is the process of checking high volumes of events against large numbers of
subscriptions and is a fundamental issue for the overall performance of a large-scale …

Geo-textual data that contain spatial, textual, and temporal information are being generated
at a very high rate. These geo-textual data cover a wide range of topics. Users may be …

With the prevalence of social media and GPS-enabled devices, a massive amount of geo-
textual data have been generated in a stream fashion, leading to a variety of applications …