Efficient and scalable stream joins play an important role in performing real-time analytics for
many cloud applications. However, like in conventional database processing, online theta …

This paper explores an analysis-aware data cleaning architecture for a large class of SPJ
SQL queries. In particular, we propose QuERy, a novel framework for integrating entity …

The massive adoption of smart phones and other mobile devices has generated humongous
amount of spatial and spatio-temporal data. The importance of spatial analytics and …

Model calibration is a major challenge faced by the plethora of statistical analytics packages
that are increasingly used in Big Data applications. Identifying the optimal model parameters …

We present the STORM system to enable spatio-temporal online reasoning and
management of large spatio-temporal data. STORM supports interactive spatio-temporal …

Efficient processing of skyline queries has been an area of growing interest. Many of the
earlier skyline techniques assumed that the skyline query is applied to a single data table …

Abstract Model calibration is a major challenge faced by the plethora of statistical analytics
packages that are increasingly used in Big Data applications. Identifying the optimal model …

As the development of social network, mobile Internet, etc., an increasing amount of data are
being generated, which beyond the processing ability of traditional data management tools …

Model calibration is a major challenge faced by the plethora of statistical analytics packages
that are increasingly used in Big Data applications. Identifying the optimal model parameters …

Interactive query processing aims at generating approximate results with minimum response
time. However, it is quite difficult for a batch-oriented processing system to progressively …