基于位编码的联机分析处理及数据挖掘算法

Online analytical processing and data mining algorithm based on BSEE

联机分析处理系统(OLAP)中的查询问题或决策支持系统中的查询非常复杂,如何处理大维度的海量数据是一个挑战。提出了一种用于OLAP多维数据库及相关数据挖掘的并行体系结构;提出了一种改进的适用于完整或部分数据立方体的并行计算调度优化方法;实现了一个大尺度的多维数据库引擎,适用于在多维度、海量数据的OLAP或SSDB中进行维度分析。

Queries posed on online analytical processing（OLAP） systems and decision supporting systems（DSS） are quite complex.A challenge for these systems is how to handle large data sets in a large number of dimensions.This paper presents a parallel infrastructure for OLAP multidimensional databases integrated with association rule mining,realizes scheduling optimizations for parallel computation of complete and partial data cubes;implements of a large scale multidimensional database engine suitable for dimensional analysis used in OLAP and SSDB for large number of dimensions large data sets.