Search alternatives:
mining algorithm » learning algorithm (Expand Search), sampling algorithm (Expand Search), means algorithm (Expand Search)
code algorithm » cosine algorithm (Expand Search), novel algorithm (Expand Search), modbo algorithm (Expand Search)
complement c3 » complement _ (Expand Search)
c3 algorithm » cc3d algorithm (Expand Search), cnn algorithm (Expand Search), td3 algorithm (Expand Search)
data code » data model (Expand Search), data came (Expand Search)
mining algorithm » learning algorithm (Expand Search), sampling algorithm (Expand Search), means algorithm (Expand Search)
code algorithm » cosine algorithm (Expand Search), novel algorithm (Expand Search), modbo algorithm (Expand Search)
complement c3 » complement _ (Expand Search)
c3 algorithm » cc3d algorithm (Expand Search), cnn algorithm (Expand Search), td3 algorithm (Expand Search)
data code » data model (Expand Search), data came (Expand Search)
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The raw data description table.
Published 2024“…In the experimental stage, this paper adopts the 2016 annual air quality data set of Beijing to verify the effectiveness of the unit point multi-information coding strategy in reducing the rule storage air, the effectiveness of mining the rules formed by the low frequency item set, and the effectiveness of combining the rule mining algorithm with the swarm intelligence optimization algorithm in terms of search time and convergence. …”
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Data description table after ETL operation.
Published 2024“…In the experimental stage, this paper adopts the 2016 annual air quality data set of Beijing to verify the effectiveness of the unit point multi-information coding strategy in reducing the rule storage air, the effectiveness of mining the rules formed by the low frequency item set, and the effectiveness of combining the rule mining algorithm with the swarm intelligence optimization algorithm in terms of search time and convergence. …”
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ICDM'23 Submission (DM468): Rule Mining for Correcting Classification Models
Published 2023Subjects: “…Data mining and knowledge discovery…”
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Codes and datasets for AAAI 2021 paper "Learning to Pre-train Graph Neural Networks"
Published 2022Subjects: -
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Dataset and Source Code for the Paper "A Framework for Developing Strategic Cyber Threat Intelligence from Advanced Persistent Threat Analysis Reports Using Graph-Based Algorithms"
Published 2024“…<p dir="ltr">Here are the data set and source code related to the paper: "A Framework for Developing Strategic Cyber Threat Intelligence from Advanced Persistent Threat Analysis Reports Using Graph-Based Algorithms"</p><p><br></p><p dir="ltr">1- aptnotes-downloader.zip : contains source code that downloads all APT reports listed in https://github.com/aptnotes/data and https://github.com/CyberMonitor/APT_CyberCriminal_Campagin_Collections</p><p><br></p><p dir="ltr">2- apt-groups.zip : contains all APT group names gathered from https://docs.google.com/spreadsheets/d/1H9_xaxQHpWaa4O_Son4Gx0YOIzlcBWMsdvePFX68EKU/edit?…”
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Nursery dataset related notes.
Published 2024“…In the experimental stage, this paper adopts the 2016 annual air quality data set of Beijing to verify the effectiveness of the unit point multi-information coding strategy in reducing the rule storage air, the effectiveness of mining the rules formed by the low frequency item set, and the effectiveness of combining the rule mining algorithm with the swarm intelligence optimization algorithm in terms of search time and convergence. …”