Matches in SemOpenAlex for { <https://semopenalex.org/work/W2794873313> ?p ?o ?g. }
Showing items 1 to 84 of
84
with 100 items per page.
- W2794873313 abstract "Data stream mining is considered one of the new generations in data mining. Analyzing big data in a fast and reliable way is essential for identifying program failures and their reasons. Widely used data mining algorithms for this purpose rely on offline data, but the new trend is toward collaborative environments, in which data stream classification can be of high value. In this paper, the properties, characteristics, and requirements of data used in debugging are identified. Then, experiments are conducted, using the Massive Online Analysis Framework for Stream Classification and Clustering (MOA), to specify the most suitable class of data stream classification algorithms in this framework. Results showed that when applying data stream classification algorithms to data streams and data sets having similar characteristics to those expected in software debugging environments, the Hoeffding algorithms group showed notable competence in reference to other data stream classification algorithms. Further, although ensemble-based methods are known to be better performing, they have not shown noteworthy added value in the case of mining debugging software engineering data. Therefore, we recommend applying the Hoeffding algorithms group since it does not require additional cost in terms of time, memory, and model size, which is required when applying the ensemble algorithms group." @default.
- W2794873313 created "2018-04-06" @default.
- W2794873313 creator A5034573445 @default.
- W2794873313 creator A5073676539 @default.
- W2794873313 date "2018-01-01" @default.
- W2794873313 modified "2023-09-27" @default.
- W2794873313 title "Toward Stream Analysis of Software Debugging Data" @default.
- W2794873313 cites W1516923404 @default.
- W2794873313 cites W1525647652 @default.
- W2794873313 cites W1543287511 @default.
- W2794873313 cites W1550282031 @default.
- W2794873313 cites W1616338336 @default.
- W2794873313 cites W175463218 @default.
- W2794873313 cites W1921566580 @default.
- W2794873313 cites W1971109640 @default.
- W2794873313 cites W1990079212 @default.
- W2794873313 cites W2010657328 @default.
- W2794873313 cites W2016159616 @default.
- W2794873313 cites W2018430492 @default.
- W2794873313 cites W2068714596 @default.
- W2794873313 cites W2100406636 @default.
- W2794873313 cites W2121081915 @default.
- W2794873313 cites W2476022033 @default.
- W2794873313 cites W4237158495 @default.
- W2794873313 cites W4241947695 @default.
- W2794873313 doi "https://doi.org/10.1007/978-3-319-78753-4_9" @default.
- W2794873313 hasPublicationYear "2018" @default.
- W2794873313 type Work @default.
- W2794873313 sameAs 2794873313 @default.
- W2794873313 citedByCount "0" @default.
- W2794873313 crossrefType "book-chapter" @default.
- W2794873313 hasAuthorship W2794873313A5034573445 @default.
- W2794873313 hasAuthorship W2794873313A5073676539 @default.
- W2794873313 hasConcept C1009929 @default.
- W2794873313 hasConcept C119857082 @default.
- W2794873313 hasConcept C124101348 @default.
- W2794873313 hasConcept C168065819 @default.
- W2794873313 hasConcept C199360897 @default.
- W2794873313 hasConcept C2777904410 @default.
- W2794873313 hasConcept C2778484313 @default.
- W2794873313 hasConcept C41008148 @default.
- W2794873313 hasConcept C60777511 @default.
- W2794873313 hasConcept C73555534 @default.
- W2794873313 hasConcept C76155785 @default.
- W2794873313 hasConcept C89198739 @default.
- W2794873313 hasConceptScore W2794873313C1009929 @default.
- W2794873313 hasConceptScore W2794873313C119857082 @default.
- W2794873313 hasConceptScore W2794873313C124101348 @default.
- W2794873313 hasConceptScore W2794873313C168065819 @default.
- W2794873313 hasConceptScore W2794873313C199360897 @default.
- W2794873313 hasConceptScore W2794873313C2777904410 @default.
- W2794873313 hasConceptScore W2794873313C2778484313 @default.
- W2794873313 hasConceptScore W2794873313C41008148 @default.
- W2794873313 hasConceptScore W2794873313C60777511 @default.
- W2794873313 hasConceptScore W2794873313C73555534 @default.
- W2794873313 hasConceptScore W2794873313C76155785 @default.
- W2794873313 hasConceptScore W2794873313C89198739 @default.
- W2794873313 hasLocation W27948733131 @default.
- W2794873313 hasOpenAccess W2794873313 @default.
- W2794873313 hasPrimaryLocation W27948733131 @default.
- W2794873313 hasRelatedWork W105155515 @default.
- W2794873313 hasRelatedWork W1970990139 @default.
- W2794873313 hasRelatedWork W197852767 @default.
- W2794873313 hasRelatedWork W2032432384 @default.
- W2794873313 hasRelatedWork W2051243911 @default.
- W2794873313 hasRelatedWork W2072944275 @default.
- W2794873313 hasRelatedWork W2153643485 @default.
- W2794873313 hasRelatedWork W2181784059 @default.
- W2794873313 hasRelatedWork W2304602773 @default.
- W2794873313 hasRelatedWork W2529010262 @default.
- W2794873313 hasRelatedWork W2557081607 @default.
- W2794873313 hasRelatedWork W2898072413 @default.
- W2794873313 hasRelatedWork W2902054585 @default.
- W2794873313 hasRelatedWork W2926042722 @default.
- W2794873313 hasRelatedWork W2958623481 @default.
- W2794873313 hasRelatedWork W3041998491 @default.
- W2794873313 hasRelatedWork W3046869667 @default.
- W2794873313 hasRelatedWork W3104083384 @default.
- W2794873313 hasRelatedWork W3195937315 @default.
- W2794873313 hasRelatedWork W2550221131 @default.
- W2794873313 isParatext "false" @default.
- W2794873313 isRetracted "false" @default.
- W2794873313 magId "2794873313" @default.
- W2794873313 workType "book-chapter" @default.