AAAA java

Background:[top]

Data management is an important topic in Information Systems. One of the famous problems in data management is known as the Orthogonal Point Enclosure Query (OPEQ). OPEQ plays a crucial role in enabling data scientists to extract meaningful knowledge from data, which is essential for intelligent decision-making in various domains. Therefore, the solution to the OPEQ problem significantly contributes to making intelligent decisions. This individual assignment entails building a software solution in Java for solving the OPEQ problem. The problem definition for OPEQ is provided below:

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Given a set S of n axis-aligned boxes in a d-dimensional space, preprocess these n boxes into a data structure so that the boxes in S containing a given query point q can be reported efficiently.

Below is an example in 2D. In this example, there are 5 axis-aligned boxes in the 2D plane, each colored differently.

The blue and yellow boxes should be output because these two boxes contains the query point.

Below is a concrete example that demonstrates the importance of OPEQ for data management and intelligent decision-making.

Consider a couple matching website with n members. Each member has submitted their age (e.g., 24), salary (e.g., $32,000), preferred range of partner's age (e.g., 20 - 30), and preferred range of partner's salary (e.g., $20,000 - $35,000). When the website wants to determine which members are suitable for a member with an age of 24 and a salary of $32,000, it needs to retrieve all member preferences where the preferred age range contains 24 (e.g., 20 - 30) and the preferred salary range contains $32,000 (e.g., $20,000 - $35,000).

原文地址：https://blog.csdn.net/w976j_/article/details/140587727

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