Implementation of scalable fuzzy relational operations in MapReduce
Author:
Publisher
Springer Science and Business Media LLC
Subject
Geometry and Topology,Theoretical Computer Science,Software
Link
http://link.springer.com/article/10.1007/s00500-017-2561-3/fulltext.html
Reference33 articles.
1. Afrati FN, Sarma AD, Menestrina D, Parameswaran A, Ullman JD (2012) Fuzzy joins using mapreduce. In: 2012 IEEE 28th international conference on data engineering (ICDE). IEEE, pp 498–509
2. Atta F, Viglas SD, Niazi S (2011) Sand join: a skew handling join algorithm for google’s mapreduce framework. In: 2011 IEEE 14th international multitopic conference (INMIC), pp 170–175. doi: 10.1109/INMIC.2011.6151466
3. Bosc P, Prade H (1997) An introduction to the fuzzy set and possibility theory-based treatment of flexible queries and uncertain or imprecise databases. In: Motro A, Smets P (eds) Uncertainty management in information systems. Springer, New York, pp 285–324
4. Buckles BP, Petry FE (1982) A fuzzy representation of data for relational databases. Fuzzy Sets Syst 7(3):213–226. doi: 10.1016/0165-0114(82)90052-5
5. Buckley JJ, Eslami E (2002) An introduction to fuzzy logic and fuzzy sets, vol 13. Springer, New York
Cited by 7 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. Interpreting Industrial IoT Data Streams Through Fuzzy Querying With Hysteretic Fuzzy Sets on Apache Kafka;IEEE Transactions on Fuzzy Systems;2024-08
2. A novel MapReduce-based deep convolutional neural network algorithm;Journal of Intelligent & Fuzzy Systems;2021-09-15
3. High-Efficient Fuzzy Querying with HiveQL for Big Data Warehousing;IEEE Transactions on Fuzzy Systems;2021
4. A Hopping Umbrella for Fuzzy Joining Data Streams From IoT Devices in the Cloud and on the Edge;IEEE Transactions on Fuzzy Systems;2020-05
5. Fuzzy Join as a Preparation Step for the Analysis of Training Data;Beyond Databases, Architectures and Structures. Paving the Road to Smart Data Processing and Analysis;2019
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