MapReduce is a scheme for processing and managing large scale data sets during a distributed cluster, which has been used for applications such as document clustering, generating search indexes, access log analysis, and numerous other forms of data analytic. In existing system, a hash function is...
Applications of Bloom Filter in Big data RiponPatgiri, ...Naresh BabuMuppalaneni, inBloom Filter, 2023 15.4MapReduce MapReduce[34]is a data processing framework for processingBig dataacross thousands of servers in aHadoopcluster. It has two main components, map and reduce. The map is responsib...
Emad A Mohammed, Behrouz H Far, Christopher Naugler, Applications of the MapReduce programming framework to clinical big data analysis: current landscape and future trends. BioData Min. 2014; 7:22.E. A. Mohammed, B. H. Far, and C. Naugler, "Applications of the MapReduce programming ...
摘要: In this age, big data applications are increasingl 关键词:Big data MapReduce Imbalanced dataset Sampling Cost-sensitive learning Random Forest 年份: 2014 收藏 引用 批量引用 报错 分享 求助全文 通过文献互助平台发起求助,成功后即可免费获取论文全文。 请先登入相似文献 参考文献 引证文献An ...
In-memory big data applications are growing in popularity, including in-memoryversions of the MapReduce framework. The move away from disk-based datasetssh... Pugsley,S Hintze - Dissertations & Theses - Gradworks 被引量: 2发表: 2015年 MaMR: High-performance MapReduce programming model for mater...
aDache: A data aware caching for big-data applications using the MapReduce framework Dache : 数据明白贮藏为大数据应用使用MapReduce框架 [translate] 英语翻译 日语翻译 韩语翻译 德语翻译 法语翻译 俄语翻译 阿拉伯语翻译 西班牙语翻译 葡萄牙语翻译 意大利语翻译 荷兰语翻译 瑞典语翻译 希腊语翻译 51La ...
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It represents a large spectrum of text-processing algorithms in big-data applications. As such, many consider it a state-of-the-art benchmark workload for evaluating Hadoop's efficiency. The original MapReduce paper1 used WordCount as a benchmark workload....
means approach for big data clustering in mapreduce The big data arriving from various sources are being processed using theMapReduce framework (MRF) by the knowledge of the clustering algorithms. Moreover,... S Madan,C Komalavalli,MK Bhatia,... - 《Multimedia Tools & Applications》 被引量:...
In recent times, big data classification has become a hot research topic in various domains, such as healthcare, e-commerce, finance, etc. The inclusion of the feature selection process helps to improve the big data classification process and can be done by the use of metaheuristic optimization...