MeshSQL: the query language for simulation mesh data

TL;DR: FlexQuery is offered as an online data query system that can deploy and execute data queries `along' the I/O and analytics pipelines, and its ability to dynamically deploy queries for low-latency remote data visualization is demonstrated.

TL;DR: This work introduces a new notion of generalized approximate queries and a general divide and conquer approach that supports them, which uses families of real-valued functions as an approximate representation.

TL;DR: It will be shown how simple SELECT-statements can be used to extract any kind of valuable information in various return formats, thereby going beyond traditional SQL capabilities.

TL;DR: This Thesis is protected by copyright and/or related rights and has been brought to you by ScholarWorks@UNO with permission from the rights-holder(s).

TL;DR: In this article, the authors introduce a new notion of generalized approximate queries and a general divide-and-conquer approach that supports them, and present an algorithm for realizing their technique, and the results of applying it to medical cardiology data.

TL;DR: Aqua is a system for providing fast, approximate answers to aggregate queries, which are very common in OLAP applications, and it has been designed to run on top of any commercial relational DBMS.

TL;DR: It is shown that the degree of reference sharing among objects for the various classes in the path influences both the retrieval and update costs of the three indexes.

TL;DR: This paper introduces an active spatial datamining approach which extends the current spatial data mining algorithms to efficiently support user-defined triggers on dynamically evolving spatial data and employs a hierarchical structure with associated statistical information at the various levels of the hierarchy to exploit the locality of the effect of an update and the nature of spatial data.