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Yousef et al., 2020 - Google Patents

TopicsRanksDC: distance-based topic ranking applied on two-class data

Yousef et al., 2020

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Document ID
15351370093014791315
Author
Yousef M
Qundus J
Peikert S
Paschke A
Publication year
Publication venue
Database and Expert Systems Applications: DEXA 2020 International Workshops BIOKDD, IWCFS and MLKgraphs, Bratislava, Slovakia, September 14–17, 2020, Proceedings 31

External Links

Snippet

In this paper, we introduce a novel approach named TopicsRanksDC for topics ranking based on the distance between two clusters that are generated by each topic. We assume that our data consists of text documents that are associated with two-classes. Our approach …
Continue reading at arxiv.org (PDF) (other versions)

Classifications

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    • G06F17/3061Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
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    • G06F17/3071Clustering or classification including class or cluster creation or modification
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