Matches in SemOpenAlex for { <https://semopenalex.org/work/W2153190933> ?p ?o ?g. }
Showing items 1 to 86 of
86
with 100 items per page.
- W2153190933 abstract "Filtering feature selection method (filtering method, for short) is a well-known feature selection strategy in pattern recognition and data mining. Filtering method outperforms other feature selection methods in many cases when the dimension of features is large. There are so many filtering methods proposed in previous work leading to the “selection trouble” that how to select an appropriate filtering method for a given text data set. Since to find the best filtering method is usually intractable in real application, this paper takes an alternative path. We propose a feature selection framework that fuses the results obtained by different filtering methods. In fact, deriving a better rank list from different rank lists, known as rank aggregation, is a hot topic studied in many disciplines. Based on the proposed framework and Markov chains rank aggregation techniques, in this paper, we present two new feature selection methods: FR-MC1 and FR-MC4. We also introduce a perturbation algorithm to alleviate the drawbacks of Markov chains rank aggregation techniques. Empirical evaluation on two public text data sets shows that the two new feature selection methods achieve better or comparable results than classical filtering methods, which also demonstrate the effectiveness of our framework." @default.
- W2153190933 created "2016-06-24" @default.
- W2153190933 creator A5000598507 @default.
- W2153190933 creator A5000753987 @default.
- W2153190933 creator A5009511406 @default.
- W2153190933 creator A5042183192 @default.
- W2153190933 creator A5044594971 @default.
- W2153190933 creator A5047332568 @default.
- W2153190933 date "2009-01-01" @default.
- W2153190933 modified "2023-09-26" @default.
- W2153190933 title "Rank Aggregation Based Text Feature Selection" @default.
- W2153190933 cites W1980948349 @default.
- W2153190933 cites W2000300218 @default.
- W2153190933 cites W2000851114 @default.
- W2153190933 cites W2031888594 @default.
- W2153190933 cites W2051834357 @default.
- W2153190933 cites W2097089247 @default.
- W2153190933 cites W2103235295 @default.
- W2153190933 cites W2118027802 @default.
- W2153190933 cites W2118965172 @default.
- W2153190933 cites W2130949063 @default.
- W2153190933 cites W2149776783 @default.
- W2153190933 cites W2165885026 @default.
- W2153190933 cites W3150942237 @default.
- W2153190933 doi "https://doi.org/10.1109/wi-iat.2009.32" @default.
- W2153190933 hasPublicationYear "2009" @default.
- W2153190933 type Work @default.
- W2153190933 sameAs 2153190933 @default.
- W2153190933 citedByCount "11" @default.
- W2153190933 countsByYear W21531909332012 @default.
- W2153190933 countsByYear W21531909332013 @default.
- W2153190933 countsByYear W21531909332014 @default.
- W2153190933 countsByYear W21531909332015 @default.
- W2153190933 countsByYear W21531909332016 @default.
- W2153190933 countsByYear W21531909332017 @default.
- W2153190933 countsByYear W21531909332021 @default.
- W2153190933 crossrefType "proceedings-article" @default.
- W2153190933 hasAuthorship W2153190933A5000598507 @default.
- W2153190933 hasAuthorship W2153190933A5000753987 @default.
- W2153190933 hasAuthorship W2153190933A5009511406 @default.
- W2153190933 hasAuthorship W2153190933A5042183192 @default.
- W2153190933 hasAuthorship W2153190933A5044594971 @default.
- W2153190933 hasAuthorship W2153190933A5047332568 @default.
- W2153190933 hasBestOaLocation W21531909332 @default.
- W2153190933 hasConcept C114614502 @default.
- W2153190933 hasConcept C138885662 @default.
- W2153190933 hasConcept C148483581 @default.
- W2153190933 hasConcept C154945302 @default.
- W2153190933 hasConcept C164226766 @default.
- W2153190933 hasConcept C204321447 @default.
- W2153190933 hasConcept C23123220 @default.
- W2153190933 hasConcept C2776401178 @default.
- W2153190933 hasConcept C33923547 @default.
- W2153190933 hasConcept C41008148 @default.
- W2153190933 hasConcept C41895202 @default.
- W2153190933 hasConcept C81917197 @default.
- W2153190933 hasConceptScore W2153190933C114614502 @default.
- W2153190933 hasConceptScore W2153190933C138885662 @default.
- W2153190933 hasConceptScore W2153190933C148483581 @default.
- W2153190933 hasConceptScore W2153190933C154945302 @default.
- W2153190933 hasConceptScore W2153190933C164226766 @default.
- W2153190933 hasConceptScore W2153190933C204321447 @default.
- W2153190933 hasConceptScore W2153190933C23123220 @default.
- W2153190933 hasConceptScore W2153190933C2776401178 @default.
- W2153190933 hasConceptScore W2153190933C33923547 @default.
- W2153190933 hasConceptScore W2153190933C41008148 @default.
- W2153190933 hasConceptScore W2153190933C41895202 @default.
- W2153190933 hasConceptScore W2153190933C81917197 @default.
- W2153190933 hasLocation W21531909331 @default.
- W2153190933 hasLocation W21531909332 @default.
- W2153190933 hasOpenAccess W2153190933 @default.
- W2153190933 hasPrimaryLocation W21531909331 @default.
- W2153190933 hasRelatedWork W2115485936 @default.
- W2153190933 hasRelatedWork W2119135658 @default.
- W2153190933 hasRelatedWork W2144190808 @default.
- W2153190933 hasRelatedWork W2357241418 @default.
- W2153190933 hasRelatedWork W2366644548 @default.
- W2153190933 hasRelatedWork W2368651715 @default.
- W2153190933 hasRelatedWork W2376314740 @default.
- W2153190933 hasRelatedWork W2384888906 @default.
- W2153190933 hasRelatedWork W2611614995 @default.
- W2153190933 hasRelatedWork W3107474891 @default.
- W2153190933 isParatext "false" @default.
- W2153190933 isRetracted "false" @default.
- W2153190933 magId "2153190933" @default.
- W2153190933 workType "article" @default.