This paper proposes EasyChoose, which is a distributed scheme based on Hadoop YARN to continuously collect product reviews from the Internet.
“EasyChoose: A Continuous Feature Extraction and. Review Highlighting Scheme on Hadoop YARN”.IEEE. 2018, 2018 IEEE 32nd International Conference on. Advanced ...
Feb 12, 2018 · EasyChoose: A Continuous Feature Extraction and. Review Highlighting Scheme on Hadoop YARN. Ming-Chang Lee. Department of Communication Systems.
EasyChoose: A Continuous Feature Extraction and Review ...
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Request PDF | On May 1, 2018, Ming-Chang Lee and others published EasyChoose: A Continuous Feature Extraction and Review Highlighting Scheme on Hadoop YARN |
EasyChoose: A Continuous Feature Extraction and Review Highlighting Scheme on Hadoop YARN. Authors: M. Lee, J. Lin and O. Owe. Status: Published.
EasyChoose: A Continuous Feature Extraction and Review Highlighting Scheme on Hadoop YARN pp. 996-1002. NBF: An FCA-Based Algorithm to Identify Negative ...
EasyChoose: A Continuous Feature Extraction and Review Highlighting Scheme on Hadoop YARN. Conference Paper. May 2018. Ming-Chang Lee · Jia-Chun Lin ...
(2018) EasyChoose: A Continuous Feature Extraction and Review Highlighting Scheme on Hadoop YARN. Advanced Information Networking and Applications. Academic ...
EasyChoose: A Continuous Feature Extraction and Review Highlighting Scheme on Hadoop YARN. ... ABS-YARN: A Formal Framework for Modeling Hadoop YARN Clusters.
... reviews for every item, and appropriated reviews on the Internet. EasyChoose: A Continuous Feature Extraction and Review Highlighting Scheme on Hadoop YARN