Indexing possibilistic numerical data using Interval B~+-trees

De Mol Robin; Barranco Carlos D.; De Tre Guy

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Indexing possibilistic numerical data using Interval B~+-trees

机译：使用间隔b〜+ -trees索引可能的数值数据

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When record sets become large, indexing becomes a required technique for speeding up querying. This paper proposes an indexing technique for interval data. Such data are common in possibility based relational databases but are also frequently used in other applications. Our approach is an adaptation of a B+-tree, which is currently still one of the most efficient indexing techniques. Because it can store interval data, we name it the Interval B+-tree (IBPT). It is illustrated how an IBPT index can be built and applied in practice to speed up the evaluation of fuzzy queries on possibilistic relational databases. (C) 2020 Elsevier B.V. All rights reserved.

机译：当录制集变大时，索引成为用于加速查询的所需技术。本文提出了间隔数据的索引技术。这些数据在基于可能性的关系数据库中是常见的，但也经常用于其他应用程序。我们的方法是B + -Tree的适应，目前仍然是最有效的索引技术之一。因为它可以存储间隔数据，所以我们将其命名为interval b + -tree（伊尔）。示出了如何在实践中构建和应用Ibpt索引，以加快对可能性关系数据库上的模糊查询的评估。（c）2020 Elsevier B.V.保留所有权利。

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来源
《Fuzzy sets and systems》 |2021年第15期|138-154|共17页
作者
De Mol Robin; Barranco Carlos D.; De Tre Guy;
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作者单位

Univ Ghent Dept Telecommun & Informat Proc Sint Pietersnieuwstr 41 B-9000 Ghent Belgium;

Pablo de Olavide Univ Sch Engn Div Comp Sci Seville 41013 Spain;

Univ Ghent Dept Telecommun & Informat Proc Sint Pietersnieuwstr 41 B-9000 Ghent Belgium;

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收录信息美国《科学引文索引》(SCI);美国《工程索引》(EI);
原文格式 PDF
正文语种 eng
中图分类
关键词
Indexing; Possibilistic databases; B+-tree;

机译：索引;可能性数据库;B + -Tree;

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专利

1. INDEXING FUZZY NUMERICAL DATA WITH A B~+ TREE FOR FAST RETRIEVAL USING NECESSITY-MEASURED FLEXIBLE CONDITIONS [J] . CARLOS D. BARRANCO, JESUS R. CAMPANA, JUAN M. MEDINA International journal of uncertainty, fuzziness and knowledge-based systems . 2009,第suppla1期

机译：用B〜+树索引模糊数值数据以使用需要量度的柔性条件进行快速检索
2. A B~+-tree based indexing technique for fuzzy numerical data [J] . C.D. Barranco, J.R. Campana, J.M. Medina Fuzzy sets and systems . 2008,第12期

机译：基于B〜+树的模糊数值数据索引技术
3. A new possibilistic classifier for mixed categorical and numerical data based on a bi-module possibilistic estimation and the generalized minimum-based algorithm [J] . Baati Karim, Hamdani Tarek M., Alimi Adel M., Journal of intelligent & fuzzy systems: Applications in Engineering and Technology . 2019,第4期

机译：基于Bi模块可能估计的混合分类和数值数据的新可能分类器和基于广义最小算法的混合分类和数值数据
4. I2B+tree: Interval B+ tree variant towards fast indexing of time-dependent data [C] . Edgar Carneiro, Alexandre Valle de Carvalho, Marco Amaro Oliveira Iberian Conference on Information Systems and Technologies . 2020

机译：I2B + tree：间隔B +树变体，可快速建立与时间相关的数据的索引
5. The Hyperdyadic Tree Index and a Generalized Parallel, In Situ Indexing Methodology for Extreme-scale Scientific Data. [D] . Boyuka, David Andrew, II. 2016

机译：超二叉树索引和用于极端规模科学数据的广义并行，原位索引方法。
6. Quadrant-Based Minimum Bounding Rectangle-Tree Indexing Method for Similarity Queries over Big Spatial Data in HBase [O] . Bumjoon Jo, Sungwon Jung 2018

机译：HBase中大空间数据相似性查询的基于象限的最小边界矩形树索引方法
7. On the Possibilistic Approach to Linear Regression with Rounded or Interval-Censored Data [O] . Michal Černý, Miroslav Rada 2011

机译：关于圆形或间隔禁用数据的线性回归的可能性方法
8. Data summary of municipal solid waste management alternatives. Volume 12, Numerically indexed bibliography [R] . 1992

机译：城市固体废物管理替代品的数据摘要。第12卷，数字索引的参考书目

Indexing possibilistic numerical data using Interval B~+-trees

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