FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W3135092014> ?p ?o ?g. }

• W3135092014 endingPage "12" @default.
• W3135092014 startingPage "1" @default.
• W3135092014 abstract "<math xmlns=http://www.w3.org/1998/Math/MathML id=M2> <mi>k</mi> </math> nearest neighbor ( <math xmlns=http://www.w3.org/1998/Math/MathML id=M3> <mi>k</mi> </math> NN) is a simple and widely used classifier; it can achieve comparable performance with more complex classifiers including decision tree and artificial neural network. Therefore, <math xmlns=http://www.w3.org/1998/Math/MathML id=M4> <mi>k</mi> </math> NN has been listed as one of the top 10 algorithms in machine learning and data mining. On the other hand, in many classification problems, such as medical diagnosis and intrusion detection, the collected training sets are usually class imbalanced. In class imbalanced data, although positive examples are heavily outnumbered by negative ones, positive examples usually carry more meaningful information and are more important than negative examples. Similar to other classical classifiers, <math xmlns=http://www.w3.org/1998/Math/MathML id=M5> <mi>k</mi> </math> NN is also proposed under the assumption that the training set has approximately balanced class distribution, leading to its unsatisfactory performance on imbalanced data. In addition, under a class imbalanced scenario, the global resampling strategies that are suitable to decision tree and artificial neural network often do not work well for <math xmlns=http://www.w3.org/1998/Math/MathML id=M6> <mi>k</mi> </math> NN, which is a local information-oriented classifier. To solve this problem, researchers have conducted many works for <math xmlns=http://www.w3.org/1998/Math/MathML id=M7> <mi>k</mi> </math> NN over the past decade. This paper presents a comprehensive survey of these works according to their different perspectives and analyzes and compares their characteristics. At last, several future directions are pointed out." @default.
• W3135092014 created "2021-03-15" @default.
• W3135092014 creator A5031068301 @default.
• W3135092014 creator A5031313195 @default.
• W3135092014 date "2021-03-03" @default.
• W3135092014 modified "2023-10-16" @default.
• W3135092014 title "A Survey of <math xmlns=http://www.w3.org/1998/Math/MathML id=M1> <mi>k</mi> </math> Nearest Neighbor Algorithms for Solving the Class Imbalanced Problem" @default.
• W3135092014 cites W1533320424 @default.
• W3135092014 cites W1974825407 @default.
• W3135092014 cites W1992829486 @default.
• W3135092014 cites W2027739797 @default.
• W3135092014 cites W2087240369 @default.
• W3135092014 cites W2098373434 @default.
• W3135092014 cites W2098994397 @default.
• W3135092014 cites W2118978333 @default.
• W3135092014 cites W2189353026 @default.
• W3135092014 cites W2331846255 @default.
• W3135092014 cites W2512691369 @default.
• W3135092014 cites W2566546024 @default.
• W3135092014 cites W2590761734 @default.
• W3135092014 cites W2624600450 @default.
• W3135092014 cites W2707074415 @default.
• W3135092014 cites W2756848027 @default.
• W3135092014 cites W2757120799 @default.
• W3135092014 cites W2792744510 @default.
• W3135092014 cites W2800242529 @default.
• W3135092014 cites W2900688725 @default.
• W3135092014 cites W2966679659 @default.
• W3135092014 cites W2991519556 @default.
• W3135092014 cites W2999592897 @default.
• W3135092014 cites W2999899884 @default.
• W3135092014 cites W385566662 @default.
• W3135092014 cites W627502383 @default.
• W3135092014 doi "https://doi.org/10.1155/2021/5520990" @default.
• W3135092014 hasPublicationYear "2021" @default.
• W3135092014 type Work @default.
• W3135092014 sameAs 3135092014 @default.
• W3135092014 citedByCount "4" @default.
• W3135092014 countsByYear W31350920142022 @default.
• W3135092014 countsByYear W31350920142023 @default.
• W3135092014 crossrefType "journal-article" @default.
• W3135092014 hasAuthorship W3135092014A5031068301 @default.
• W3135092014 hasAuthorship W3135092014A5031313195 @default.
• W3135092014 hasBestOaLocation W31350920141 @default.
• W3135092014 hasConcept C11413529 @default.
• W3135092014 hasConcept C119857082 @default.
• W3135092014 hasConcept C154945302 @default.
• W3135092014 hasConcept C2777212361 @default.
• W3135092014 hasConcept C33923547 @default.
• W3135092014 hasConcept C41008148 @default.
• W3135092014 hasConcept C50644808 @default.
• W3135092014 hasConcept C84525736 @default.
• W3135092014 hasConcept C95623464 @default.
• W3135092014 hasConceptScore W3135092014C11413529 @default.
• W3135092014 hasConceptScore W3135092014C119857082 @default.
• W3135092014 hasConceptScore W3135092014C154945302 @default.
• W3135092014 hasConceptScore W3135092014C2777212361 @default.
• W3135092014 hasConceptScore W3135092014C33923547 @default.
• W3135092014 hasConceptScore W3135092014C41008148 @default.
• W3135092014 hasConceptScore W3135092014C50644808 @default.
• W3135092014 hasConceptScore W3135092014C84525736 @default.
• W3135092014 hasConceptScore W3135092014C95623464 @default.
• W3135092014 hasFunder F4320324174 @default.
• W3135092014 hasLocation W31350920141 @default.
• W3135092014 hasOpenAccess W3135092014 @default.
• W3135092014 hasPrimaryLocation W31350920141 @default.
• W3135092014 hasRelatedWork W1982750869 @default.
• W3135092014 hasRelatedWork W1984922432 @default.
• W3135092014 hasRelatedWork W2362198218 @default.
• W3135092014 hasRelatedWork W2375008505 @default.
• W3135092014 hasRelatedWork W2391251536 @default.
• W3135092014 hasRelatedWork W2961085424 @default.
• W3135092014 hasRelatedWork W3036095178 @default.
• W3135092014 hasRelatedWork W3134840015 @default.
• W3135092014 hasRelatedWork W4366979180 @default.
• W3135092014 hasRelatedWork W4384470695 @default.
• W3135092014 hasVolume "2021" @default.
• W3135092014 isParatext "false" @default.
• W3135092014 isRetracted "false" @default.
• W3135092014 magId "3135092014" @default.
• W3135092014 workType "article" @default.