The result shows that massive data can be processed effectively in high speed by improved TFIDF algorithm which adopts double parallel adaptive computing.
Nov 13, 2024 · An improved TFIDF algorithm based on dual parallel adaptive computing model. Open Webpage · Yuwan Gu, Yaru Wang, Juan Huan, Yuqiang Sun ...
In this research improved TFIDF algorithm has been designed and realized to improve the running efficiency on the basis of dual parallel adaptive computing. II.
May 11, 2020 · The method aims at the low efficiency for the large data sets on the stand-alone by text categorisation algorithm, constructs the adaptive ...
The result shows that massive data can be processed effectively in high speed by improved TFIDF algorithm which adopts double parallel adaptive computing. With ...
Abstract: The double parallel cloud computing framework based on graphics processing unit. (GPU) and MapReduce is proposed. The method aims at the low ...
Computational Physics · Computer Modeling. Conference Paper. An Improved TFIDF Algorithm Based on Dual Parallel Adaptive Computing Model. July 2018. DOI:10.1109 ...
We carried out a set of experiments to select the most effective embedding approach for our event detection framework. We use the commonly used embedding ...
Abstract: The double parallel cloud computing framework based on graphics processing unit (GPU) and MapReduce is proposed. The method aims at the low efficiency ...
Title: An improved TFIDF algorithm based on dual parallel adaptive computing model · Authors: Yuwan Gu, Yaru Wang, Juan Huan, Yuqiang Sun, Shoukun Xu · Venue: Int ...