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Clustering-Based Filtering of Big Data to Improve ...
Springer
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由 T Pinto 著作2022被引用 1 次 — This paper proposes a novel data selection methodology that filters big volumes of data, so that only the most correlated information is used in the decision- ...
有關 Clustering-Based Filtering of Big Data to Improve Forecasting Effectiveness and Efficiency. 的學術文章 | |
Clustering‐based real‐time anomaly detection—A … - Ariyaluran Habeeb - 101 個引述 An improved clustering-based collaborative filtering … - Xiaojun - 117 個引述 | |
Clustering-Based Filtering of Big Data to Improve Forecasting ...
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Clustering-Based Filtering of Big Data to Improve Forecasting. Effectiveness and Efficiency ... filters relevant data clusters to enhance forecasting ...
Clustering-Based Filtering of Big Data to Improve Forecasting ...
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Results show that the data selection increases the forecasting effectiveness of forecasting methods, as well as the computational efficiency of the forecasts, ...
Clustering-Based Filtering of Big Data to Improve Forecasting ...
OUCI
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OUCI
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Clustering-Based Filtering of Big Data to Improve Forecasting Effectiveness and Efficiency ... big data set balanced clustering using deep learning.
Clustering-Based Filtering of Big Data to Improve Forecasting ...
springerprofessional.de
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springerprofessional.de
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This paper proposes a novel data selection methodology that filters big volumes of data, so that only the most correlated information is used in the decision- ...
a clustering-based collaborative filtering approach for big ...
ResearchGate
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ResearchGate
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2020年7月13日 — ... improving effectiveness and diversity of recommendation. The presented algorithm works in three phases: data preprocessing and ...
Intelligent medical heterogeneous big data set balanced ...
ScienceDirect.com
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ScienceDirect.com
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由 X Li 著作2020被引用 24 次 — We proposed a balanced clustering algorithm for intelligent medical heterogeneous big data set using deep learning.
A clustering based approach to improving the efficiency of ...
ACM Digital Library
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ACM Digital Library
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由 CL Liao 著作2016被引用 135 次 — We propose a novel approach which applies a self-constructing clustering algorithm to reduce the dimensionality related to the number of products. Similar ...
Cluster-based Data Filtering for Manufacturing Big Data Systems
National Science Foundation (.gov)
https://par.nsf.gov › servlets › purl
National Science Foundation (.gov)
https://par.nsf.gov › servlets › purl
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由 Y Li 著作2020被引用 1 次 — As a result, extracting representative and high-quality data subsets is important to improve the efficiency of the data analysis. In this work, we proposed ...
Review of Clustering-Based Recommender Systems
arXiv
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arXiv
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由 I Beregovskaya 著作2021被引用 7 次 — Collaborative filtering is the most widely used approach in terms of recommendations for providing services to users. The essence of this approach is to improve ...