i<inline-formula><tex-math notation="LaTeX">$^2$</tex-math><alternatives> <inline-graphic xlink:type="simple" xlink:href="zhang-ieq1-2397438.gif"/></alternatives></inline-formula>MapReduce: Incremental MapReduce for Mining Evolving Big Data-Reference-Cited by-同舟云学术

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i$^2$ MapReduce: Incremental MapReduce for Mining Evolving Big Data

Published:2015-07-01 Issue:7 Volume:27 Page:1906-1919
ISSN:1041-4347
Container-title:IEEE Transactions on Knowledge and Data Engineering
language:
Short-container-title:IEEE Trans. Knowl. Data Eng.

Author:

Zhang Yanfeng,Chen Shimin,Wang Qiang,Yu Ge

Funder

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

China Mobile Fund

MOE-Intel Special Fund of Information Technology

CAS

NSFC

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computational Theory and Mathematics,Computer Science Applications,Information Systems

Link

http://xplorestaging.ieee.org/ielx7/69/7116676/07029111.pdf?arnumber=7029111

Cited by 35 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

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2. A Survey on Fast and Scalable Incremental Frequent Item Set Methods for Big Data;2022 International Conference on Intelligent Controller and Computing for Smart Power (ICICCSP);2022-07-21

3. Toward High-Performance Delta-Based Iterative Processing with a Group-Based Approach;Journal of Computer Science and Technology;2022-07

4. Distributed Tree-Based Machine Learning for Short-Term Load Forecasting With Apache Spark;IEEE Access;2021

5. IncGraph: An Improved Distributed Incremental Graph Computing Model and Framework based on Spark GraphX;IEEE Transactions on Knowledge and Data Engineering;2021

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