Matches in SemOpenAlex for { <https://semopenalex.org/work/W2282331623> ?p ?o ?g. }
Showing items 1 to 92 of
92
with 100 items per page.
- W2282331623 abstract "Data mining and machine learning techniques help us to better and deeper understanding of collected data. Meta-learning techniques extend this concept by providing methods for knowledge discovery process automatization. Meta-learning introduces various interesting concepts, including data meta-features, meta-knowledge, algorithm recommendation systems, autonomous process builders, etc. All these techniques aim to improve usually expensive and demanding data mining analysis. This paper focus on general overview of basic data mining, machine learning and meta-learning techniques, while focusing on state-of-the-art, basic formalisms and principles, interesting applications and possible future development in the field of meta-learning.Keywords: Data Mining, DMA, KDD, Machine Learning, Meta-Learning" @default.
- W2282331623 created "2016-06-24" @default.
- W2282331623 creator A5017825966 @default.
- W2282331623 creator A5018363272 @default.
- W2282331623 date "2015-10-16" @default.
- W2282331623 modified "2023-10-16" @default.
- W2282331623 title "Detecting Credit Card Fraud using Data Mining Techniques - Meta-Learning" @default.
- W2282331623 cites W1237676480 @default.
- W2282331623 cites W1502609738 @default.
- W2282331623 cites W1572615921 @default.
- W2282331623 cites W1573709864 @default.
- W2282331623 cites W1966280301 @default.
- W2282331623 cites W1988790447 @default.
- W2282331623 cites W2104429154 @default.
- W2282331623 cites W2126204609 @default.
- W2282331623 cites W2130091284 @default.
- W2282331623 cites W2133282542 @default.
- W2282331623 cites W2140190241 @default.
- W2282331623 cites W2154231540 @default.
- W2282331623 cites W2163212577 @default.
- W2282331623 cites W2479166836 @default.
- W2282331623 cites W2796503263 @default.
- W2282331623 cites W96078062 @default.
- W2282331623 cites W221177331 @default.
- W2282331623 doi "https://doi.org/10.17485/ijst/2015/v8i28/83326" @default.
- W2282331623 hasPublicationYear "2015" @default.
- W2282331623 type Work @default.
- W2282331623 sameAs 2282331623 @default.
- W2282331623 citedByCount "3" @default.
- W2282331623 countsByYear W22823316232016 @default.
- W2282331623 countsByYear W22823316232023 @default.
- W2282331623 crossrefType "journal-article" @default.
- W2282331623 hasAuthorship W2282331623A5017825966 @default.
- W2282331623 hasAuthorship W2282331623A5018363272 @default.
- W2282331623 hasBestOaLocation W22823316231 @default.
- W2282331623 hasConcept C111919701 @default.
- W2282331623 hasConcept C119857082 @default.
- W2282331623 hasConcept C120567893 @default.
- W2282331623 hasConcept C124101348 @default.
- W2282331623 hasConcept C136764020 @default.
- W2282331623 hasConcept C145097563 @default.
- W2282331623 hasConcept C154945302 @default.
- W2282331623 hasConcept C162324750 @default.
- W2282331623 hasConcept C187736073 @default.
- W2282331623 hasConcept C193524817 @default.
- W2282331623 hasConcept C202444582 @default.
- W2282331623 hasConcept C2522767166 @default.
- W2282331623 hasConcept C2780451532 @default.
- W2282331623 hasConcept C2781002164 @default.
- W2282331623 hasConcept C2983355114 @default.
- W2282331623 hasConcept C33923547 @default.
- W2282331623 hasConcept C41008148 @default.
- W2282331623 hasConcept C9652623 @default.
- W2282331623 hasConcept C98045186 @default.
- W2282331623 hasConceptScore W2282331623C111919701 @default.
- W2282331623 hasConceptScore W2282331623C119857082 @default.
- W2282331623 hasConceptScore W2282331623C120567893 @default.
- W2282331623 hasConceptScore W2282331623C124101348 @default.
- W2282331623 hasConceptScore W2282331623C136764020 @default.
- W2282331623 hasConceptScore W2282331623C145097563 @default.
- W2282331623 hasConceptScore W2282331623C154945302 @default.
- W2282331623 hasConceptScore W2282331623C162324750 @default.
- W2282331623 hasConceptScore W2282331623C187736073 @default.
- W2282331623 hasConceptScore W2282331623C193524817 @default.
- W2282331623 hasConceptScore W2282331623C202444582 @default.
- W2282331623 hasConceptScore W2282331623C2522767166 @default.
- W2282331623 hasConceptScore W2282331623C2780451532 @default.
- W2282331623 hasConceptScore W2282331623C2781002164 @default.
- W2282331623 hasConceptScore W2282331623C2983355114 @default.
- W2282331623 hasConceptScore W2282331623C33923547 @default.
- W2282331623 hasConceptScore W2282331623C41008148 @default.
- W2282331623 hasConceptScore W2282331623C9652623 @default.
- W2282331623 hasConceptScore W2282331623C98045186 @default.
- W2282331623 hasIssue "28" @default.
- W2282331623 hasLocation W22823316231 @default.
- W2282331623 hasOpenAccess W2282331623 @default.
- W2282331623 hasPrimaryLocation W22823316231 @default.
- W2282331623 hasRelatedWork W2182247575 @default.
- W2282331623 hasRelatedWork W2347219288 @default.
- W2282331623 hasRelatedWork W2348403515 @default.
- W2282331623 hasRelatedWork W2357923784 @default.
- W2282331623 hasRelatedWork W2368103459 @default.
- W2282331623 hasRelatedWork W3194671208 @default.
- W2282331623 hasRelatedWork W3198701660 @default.
- W2282331623 hasRelatedWork W4255161801 @default.
- W2282331623 hasRelatedWork W756138690 @default.
- W2282331623 hasRelatedWork W2556414219 @default.
- W2282331623 hasVolume "8" @default.
- W2282331623 isParatext "false" @default.
- W2282331623 isRetracted "false" @default.
- W2282331623 magId "2282331623" @default.
- W2282331623 workType "article" @default.