Multidimensional Data Structures and Techniques for Efficient Decision Making

TL;DR

This paper introduces novel multidimensional data structures and techniques that enable efficient decision making through fast query processing in various domains, especially in business and economics.

Contribution

It presents new data structures and methods that significantly improve the efficiency of range queries and decision-making processes in multidimensional data settings.

Findings

Polylogarithmic query response times for key range queries

Applications demonstrated in business and economic scenarios

Enhanced decision-making efficiency in multidimensional data environments

Abstract

In this paper we present several novel efficient techniques and multidimensional data structures which can improve the decision making process in many domains. We consider online range aggregation, range selection and range weighted median queries; for most of them, the presented data structures and techniques can provide answers in polylogarithmic time. The presented results have applications in many business and economic scenarios, some of which are described in detail in the paper.