Matches in SemOpenAlex for { <https://semopenalex.org/work/W1992351608> ?p ?o ?g. }
Showing items 1 to 90 of
90
with 100 items per page.
- W1992351608 abstract "With the coming of big data era, data mining and intelligent processing become more and more important, and modelling on novel intelligent processing is necessary. As micro-blog posts' properties on short texts, together with their linguistic unreliable features and the incompleteness of lexical, it is necessary to analyze and cluster these similar posts together for the further data mining and recommendation. This paper takes advantage of the classical clustering algorithm of k-means, and then presents a novel modelling approach to partition the big data into the corresponding k groups. Furthermore, a text feature selection model based on 2-phase iteration is proposed. Based on this model, a micro-blog post clustering algorithm is present. The proposed algorithm takes use of the partition idea and avoids the influence of noise data. Experiment shows the feasible of the proposed approach, and some existing problems and further works are also presented in the end." @default.
- W1992351608 created "2016-06-24" @default.
- W1992351608 creator A5041239623 @default.
- W1992351608 creator A5079656283 @default.
- W1992351608 date "2014-12-01" @default.
- W1992351608 modified "2023-09-27" @default.
- W1992351608 title "Modelling on clustering algorithm based on iteration feature selection for micro-blog posts" @default.
- W1992351608 cites W1970923004 @default.
- W1992351608 cites W1971083254 @default.
- W1992351608 cites W1987664758 @default.
- W1992351608 cites W1987832395 @default.
- W1992351608 cites W1999928587 @default.
- W1992351608 cites W2005881232 @default.
- W1992351608 cites W2025484710 @default.
- W1992351608 cites W2026032853 @default.
- W1992351608 cites W2027902860 @default.
- W1992351608 cites W2038536413 @default.
- W1992351608 cites W2054808906 @default.
- W1992351608 cites W2068193083 @default.
- W1992351608 cites W2070346041 @default.
- W1992351608 cites W2086571766 @default.
- W1992351608 cites W2107501775 @default.
- W1992351608 cites W2140190241 @default.
- W1992351608 cites W2149991085 @default.
- W1992351608 cites W2159091719 @default.
- W1992351608 cites W2538524215 @default.
- W1992351608 doi "https://doi.org/10.1109/icmic.2014.7020768" @default.
- W1992351608 hasPublicationYear "2014" @default.
- W1992351608 type Work @default.
- W1992351608 sameAs 1992351608 @default.
- W1992351608 citedByCount "1" @default.
- W1992351608 countsByYear W19923516082017 @default.
- W1992351608 crossrefType "proceedings-article" @default.
- W1992351608 hasAuthorship W1992351608A5041239623 @default.
- W1992351608 hasAuthorship W1992351608A5079656283 @default.
- W1992351608 hasConcept C11413529 @default.
- W1992351608 hasConcept C114614502 @default.
- W1992351608 hasConcept C124101348 @default.
- W1992351608 hasConcept C138885662 @default.
- W1992351608 hasConcept C148483581 @default.
- W1992351608 hasConcept C154945302 @default.
- W1992351608 hasConcept C2776401178 @default.
- W1992351608 hasConcept C33923547 @default.
- W1992351608 hasConcept C41008148 @default.
- W1992351608 hasConcept C41895202 @default.
- W1992351608 hasConcept C42812 @default.
- W1992351608 hasConcept C73555534 @default.
- W1992351608 hasConcept C75684735 @default.
- W1992351608 hasConcept C81917197 @default.
- W1992351608 hasConceptScore W1992351608C11413529 @default.
- W1992351608 hasConceptScore W1992351608C114614502 @default.
- W1992351608 hasConceptScore W1992351608C124101348 @default.
- W1992351608 hasConceptScore W1992351608C138885662 @default.
- W1992351608 hasConceptScore W1992351608C148483581 @default.
- W1992351608 hasConceptScore W1992351608C154945302 @default.
- W1992351608 hasConceptScore W1992351608C2776401178 @default.
- W1992351608 hasConceptScore W1992351608C33923547 @default.
- W1992351608 hasConceptScore W1992351608C41008148 @default.
- W1992351608 hasConceptScore W1992351608C41895202 @default.
- W1992351608 hasConceptScore W1992351608C42812 @default.
- W1992351608 hasConceptScore W1992351608C73555534 @default.
- W1992351608 hasConceptScore W1992351608C75684735 @default.
- W1992351608 hasConceptScore W1992351608C81917197 @default.
- W1992351608 hasLocation W19923516081 @default.
- W1992351608 hasOpenAccess W1992351608 @default.
- W1992351608 hasPrimaryLocation W19923516081 @default.
- W1992351608 hasRelatedWork W1487872886 @default.
- W1992351608 hasRelatedWork W1503321541 @default.
- W1992351608 hasRelatedWork W1543509794 @default.
- W1992351608 hasRelatedWork W1986979639 @default.
- W1992351608 hasRelatedWork W1996827158 @default.
- W1992351608 hasRelatedWork W2019134706 @default.
- W1992351608 hasRelatedWork W2085020160 @default.
- W1992351608 hasRelatedWork W2116907335 @default.
- W1992351608 hasRelatedWork W2169187188 @default.
- W1992351608 hasRelatedWork W2350868386 @default.
- W1992351608 hasRelatedWork W2359994823 @default.
- W1992351608 hasRelatedWork W2364820522 @default.
- W1992351608 hasRelatedWork W2379199581 @default.
- W1992351608 hasRelatedWork W2383140269 @default.
- W1992351608 hasRelatedWork W2519955223 @default.
- W1992351608 hasRelatedWork W2543544970 @default.
- W1992351608 hasRelatedWork W2547770865 @default.
- W1992351608 hasRelatedWork W2612282350 @default.
- W1992351608 hasRelatedWork W3114527563 @default.
- W1992351608 hasRelatedWork W2183040456 @default.
- W1992351608 isParatext "false" @default.
- W1992351608 isRetracted "false" @default.
- W1992351608 magId "1992351608" @default.
- W1992351608 workType "article" @default.