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Cost-aware load balancing for multilingual record linkage using MapReduce

  • Published:2020-06 Issue:2 Volume:11 Page:419-433
  • ISSN:2090-4479
  • Container-title:Ain Shams Engineering Journal
  • language:en
  • Short-container-title:Ain Shams Engineering Journal

Author:

Medhat Doaa,Yousef Ahmed H.,Salama Cherif

Publisher

Elsevier BV

Subject

General Engineering

Reference27 articles.

1. Big data integration;Dong,2013

2. Data matching: concepts and techniques for record linkage, entity resolution, and duplicate detection;Christen,2012

3. A. survey of entity resolution and record linkage methodologies;Brizan;Commun IIMA,2015

4. A survey of indexing techniques for scalable record linkage and deduplication;Christen;IEEE Trans Knowl Data Eng,2012

5. Mapreduce: simplified data processing on large clusters;Dean;Commun ACM,2008

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1. Comparative Study of Map Reduce Task Scheduling Optimization Techniques;2023 International Conference on Evolutionary Algorithms and Soft Computing Techniques (EASCT);2023-10-20

2. A robust resource allocation model for optimizing data skew and consumption rate in cloud-based IoT environments;Decision Analytics Journal;2023-06

3. A dynamic decentralized strategy of replica placement on edge computing;International Journal of Distributed Sensor Networks;2022-08

4. Research on Load Balancing MapReduce Equivalent Join Based on Intelligent Sampling and Multi Knapsack Algorithm;Recent Advances in Electrical & Electronic Engineering (Formerly Recent Patents on Electrical & Electronic Engineering);2022-06

5. Fault tolerance in big data storage and processing systems: A review on challenges and solutions;Ain Shams Engineering Journal;2022-03
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