On the use of bit maps for multiple key retrieval

Author:

Vallarino Oscar1

Affiliation:

1. University of Toronto

Abstract

The traditional file structures used to support fast response to complex user queries have been based on the inverted list organization, using either the pointer or bit string representation. In this paper, the use of bit maps for executing multiple key searches is studied. Bit maps turn out to be less precise inverted lists Where the inversion is kept for a quantization of attribute domains and the objects referenced are blocks of data records. The goal is to reduce the total number of I/O accesses required to execute a retrieval based on a Boolean qualification. An evaluation of the method is given for both storage space and expected retrieval time under simplified assumptions. Key Words and Phrases: Multiple key retrieval, inverted lists, bit strings, bit maps, Boolean queries, data base management. CR Categories: 3.70, 3.71, 3.73, 3.74, 4.33, 4.34

Publisher

Association for Computing Machinery (ACM)

Subject

Computer Graphics and Computer-Aided Design,Software

Reference22 articles.

1. Secondary key retrieval using an IBM 7090-1301 system

2. File Structures for On-Line Systems

3. Design of tree structures for efficient querying

4. The art of computer programming V3: sorting and searching. Addison-Wesley, Reading;Knuth D.E;Mass.,1973

Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Data Compression in Information Retrieval Systems;Database and Data Communication Network Systems;2002

2. Compression of correlated bit-vectors;Information Systems;1991-01

3. Using bitmaps for medium sized information retrieval systems;Information Processing & Management;1990-01

4. Nearest neighbour searching in serial files using text signatures;Journal of Information Science;1985-07

5. The Grid File;ACM Transactions on Database Systems;1984-03-23

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3