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Published in 2023 at "IEEE Transactions on Knowledge and Data Engineering"
DOI: 10.1109/tkde.2022.3158063
Abstract: Data sanitization and frequent pattern mining are two well-studied topics in data mining. Data sanitization is the process of disguising (hiding) confidential information in a given dataset. Typically, this process incurs some utility loss that…
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Keywords:
sanitization;
frequent pattern;
hardness;
pattern mining ... See more keywords
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3
Published in 2022 at "IEEE Transactions on Systems, Man, and Cybernetics: Systems"
DOI: 10.1109/tsmc.2020.3027860
Abstract: We present frequent pattern-based search (FPBS) that combines data mining and optimization. FPBS is a general-purpose method that unifies data mining and optimization within the population-based search framework. The method emphasizes the relevance of a…
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Keywords:
based search;
frequent pattern;
pattern based;
search ... See more keywords
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Published in 2022 at "Computational Intelligence and Neuroscience"
DOI: 10.1155/2022/7022168
Abstract: In the discipline of data mining, association rule mining is an important study topic that focuses on discovering the relationships between database attributes. The maximum frequent itemset comprises the information of all frequent itemsets, which…
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Keywords:
maximum frequent;
pattern tree;
frequent pattern;
frequent itemset ... See more keywords
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1
Published in 2019 at "Traitement du Signal"
DOI: 10.18280/ts.360103
Abstract: Received: 29 December 2018 Accepted: 22 January 2019 This paper attempts to improve the radar data quality and discover intrusion behaviors by mining frequent patterns of real-time data. For this purpose, the author improved the…
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Keywords:
time;
mining algorithm;
frequent pattern;
pattern mining ... See more keywords