Matches in SemOpenAlex for { <https://semopenalex.org/work/W2499202978> ?p ?o ?g. }
Showing items 1 to 84 of
84
with 100 items per page.
- W2499202978 endingPage "661" @default.
- W2499202978 startingPage "647" @default.
- W2499202978 abstract "Exploring interesting associations on gene variables help to assess the accuracy of the pattern sequence mining. Exploration of genetic structures like DNA, RNA, and protein sequences from biological datasets will boost up new innovations in Pathology diagnosis. For this mission, very large genetic pattern sequences are to be discovered. To do this, doubleton pattern mining (DPM) is considered as very constructive for analyzing these datasets. In this paper, D-Mine, a new approach for discovering very large gene pattern sequences from Biological datasets is discussed. D-Mine effectively discovers doubleton patterns which are further enriched to generate gene pattern sequences with vector intersection operator and Markov probabilistic grammars. D-Mine is described as a solution to diminish the set of discovered patterns. D-Mine makes use of a new integrated data structure called ‘D-struct,’ as combination of a virtual data matrix and 1D array pair set to dynamically discover doubleton patterns from biological datasets. D-struct has a diverse feature to facilitate which is that it has extremely limited and accurately predictable main memory and runs very quickly in memory-based constraints. The algorithm is designed in such a way that it takes only one scan over the database to discover large gene pattern sequences by iteratively enumerating D-struct matrix. The empirical analysis on D-Mine shows that the proposed approach attains a better mining efficiency on various biological datasets and outperforms with CARPENTER in different settings. The performance of D-Mine on biological data set is also assessed with accuracy and F-measure." @default.
- W2499202978 created "2016-08-23" @default.
- W2499202978 creator A5022607681 @default.
- W2499202978 creator A5023607358 @default.
- W2499202978 creator A5050920107 @default.
- W2499202978 date "2015-12-29" @default.
- W2499202978 modified "2023-09-25" @default.
- W2499202978 title "D-Mine: Accurate Discovery of Large Pattern Sequences from Biological Datasets" @default.
- W2499202978 cites W1537336823 @default.
- W2499202978 cites W2094974204 @default.
- W2499202978 cites W2118843309 @default.
- W2499202978 cites W2125208521 @default.
- W2499202978 cites W2138073318 @default.
- W2499202978 cites W2156026066 @default.
- W2499202978 cites W2997709717 @default.
- W2499202978 cites W4241634004 @default.
- W2499202978 doi "https://doi.org/10.1007/978-81-322-2671-0_62" @default.
- W2499202978 hasPublicationYear "2015" @default.
- W2499202978 type Work @default.
- W2499202978 sameAs 2499202978 @default.
- W2499202978 citedByCount "2" @default.
- W2499202978 countsByYear W24992029782022 @default.
- W2499202978 countsByYear W24992029782023 @default.
- W2499202978 crossrefType "book-chapter" @default.
- W2499202978 hasAuthorship W2499202978A5022607681 @default.
- W2499202978 hasAuthorship W2499202978A5023607358 @default.
- W2499202978 hasAuthorship W2499202978A5050920107 @default.
- W2499202978 hasConcept C124101348 @default.
- W2499202978 hasConcept C127413603 @default.
- W2499202978 hasConcept C146978453 @default.
- W2499202978 hasConcept C153180895 @default.
- W2499202978 hasConcept C154945302 @default.
- W2499202978 hasConcept C177264268 @default.
- W2499202978 hasConcept C199360897 @default.
- W2499202978 hasConcept C201797286 @default.
- W2499202978 hasConcept C2776142590 @default.
- W2499202978 hasConcept C41008148 @default.
- W2499202978 hasConcept C49937458 @default.
- W2499202978 hasConcept C60644358 @default.
- W2499202978 hasConcept C64543145 @default.
- W2499202978 hasConcept C86803240 @default.
- W2499202978 hasConceptScore W2499202978C124101348 @default.
- W2499202978 hasConceptScore W2499202978C127413603 @default.
- W2499202978 hasConceptScore W2499202978C146978453 @default.
- W2499202978 hasConceptScore W2499202978C153180895 @default.
- W2499202978 hasConceptScore W2499202978C154945302 @default.
- W2499202978 hasConceptScore W2499202978C177264268 @default.
- W2499202978 hasConceptScore W2499202978C199360897 @default.
- W2499202978 hasConceptScore W2499202978C201797286 @default.
- W2499202978 hasConceptScore W2499202978C2776142590 @default.
- W2499202978 hasConceptScore W2499202978C41008148 @default.
- W2499202978 hasConceptScore W2499202978C49937458 @default.
- W2499202978 hasConceptScore W2499202978C60644358 @default.
- W2499202978 hasConceptScore W2499202978C64543145 @default.
- W2499202978 hasConceptScore W2499202978C86803240 @default.
- W2499202978 hasLocation W24992029781 @default.
- W2499202978 hasOpenAccess W2499202978 @default.
- W2499202978 hasPrimaryLocation W24992029781 @default.
- W2499202978 hasRelatedWork W138414218 @default.
- W2499202978 hasRelatedWork W1492565823 @default.
- W2499202978 hasRelatedWork W1550158040 @default.
- W2499202978 hasRelatedWork W1601194630 @default.
- W2499202978 hasRelatedWork W1868586483 @default.
- W2499202978 hasRelatedWork W1968731884 @default.
- W2499202978 hasRelatedWork W1980430829 @default.
- W2499202978 hasRelatedWork W2016786141 @default.
- W2499202978 hasRelatedWork W2042991964 @default.
- W2499202978 hasRelatedWork W2051664277 @default.
- W2499202978 hasRelatedWork W2091572769 @default.
- W2499202978 hasRelatedWork W2092906856 @default.
- W2499202978 hasRelatedWork W2095785277 @default.
- W2499202978 hasRelatedWork W2110723042 @default.
- W2499202978 hasRelatedWork W2148399176 @default.
- W2499202978 hasRelatedWork W2549247248 @default.
- W2499202978 hasRelatedWork W2612525125 @default.
- W2499202978 hasRelatedWork W2616610036 @default.
- W2499202978 hasRelatedWork W3013529653 @default.
- W2499202978 hasRelatedWork W2186319436 @default.
- W2499202978 isParatext "false" @default.
- W2499202978 isRetracted "false" @default.
- W2499202978 magId "2499202978" @default.
- W2499202978 workType "book-chapter" @default.