Scanning and filtering over multi-dimensional tables are key operations in modern analytical
database engines. To optimize the performance of these operations, databases often create …

Filtering data based on predicates is one of the most fundamental operations for any modern
data warehouse. Techniques to accelerate the execution of filter expressions include …

Spatial relationships are core components in the design and definition of spatial queries. A
spatial relationship determines how two or more spatial objects are related or connected in …

随着各类新型计算技术和新兴应用领域的浮现, 传统数据库技术面临新的挑战,
正在从适用常规应用的单一处理方法逐步转为面向各类特殊应用的多种数据处理方式 …

随着各类新型计算技术和新兴应用领域的浮现, 传统数据库技术面临新的挑战,
正在从适用常规应用的单一处理方法逐步转为面向各类特殊应用的多种数据处理方式 …

Index structures are powerful tools for improving query performance and reducing disk
access in database systems. Multi-dimensional indexes, in particular, are used to filter …

Hilbert curve describes a one‐to‐one mapping between multidimensional space and 1D
space. Most traditional 3D Hilbert encoding and decoding algorithms work on order‐wise …

Scanning and filtering are the foundations of analytical database systems. Modern DBMSs
employ a variety of techniques to partition and layout data to improve the performance of …

Support for region queries is crucial in geographic information systems, which process exact
queries through spatial indexing to filter features and subsequently refine the selection …

Abstract “Internet of Things”(IoT) is considered one of the main focus areas of research in
computer systems and networks. Since IoT devices are installed in static geographic places …