Yousef et al., 2020 - Google Patents
TopicsRanksDC: distance-based topic ranking applied on two-class dataYousef et al., 2020
View PDF- 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
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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 …
- 238000004422 calculation algorithm 0 abstract description 9
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- G06F17/3061—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
- G06F17/30705—Clustering or classification
- G06F17/3071—Clustering or classification including class or cluster creation or modification
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